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Google Keyword Rankings for : adjust error rate algorithm
1
Rate Algorithms
https://seer.cancer.gov/seerstat/WebHelp/Rate_Algorithms.htm
Suppose that the age-adjusted rate is comprised of age groups x through y. formula for standard error for an age-adjusted rate. Crude Rate Confidence Intervals.
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https://seer.cancer.gov/seerstat/WebHelp/Rate_Algorithms.htm
Suppose that the age-adjusted rate is comprised of age groups x through y. formula for standard error for an age-adjusted rate. Crude Rate Confidence Intervals.
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2
How to Decide Between Algorithm Outputs Using ... - Medium
https://medium.com/swlh/how-to-decide-between-algorithm-outputs-using-the-validation-error-rate-c288a358ca9b
Typically, we can improve the Validation Error Rate — i.e. make it “more negative” — by adjusting the algorithms' parameters.
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https://medium.com/swlh/how-to-decide-between-algorithm-outputs-using-the-validation-error-rate-c288a358ca9b
Typically, we can improve the Validation Error Rate — i.e. make it “more negative” — by adjusting the algorithms' parameters.
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3
A new method to control error rates in automated species ...
https://www.nature.com/articles/s41598-020-67573-7
In this paper, we present a simple, yet efficient method that accounts for uncertainty in the classifier outputs. Unlike calibration methods, ...
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https://www.nature.com/articles/s41598-020-67573-7
In this paper, we present a simple, yet efficient method that accounts for uncertainty in the classifier outputs. Unlike calibration methods, ...
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4
Optimal Error Rates for Interactive Coding I: Adaptivity and ...
https://people.csail.mit.edu/ghaffari/papers/interactive_protocol1.pdf
Abstract. We consider the task of interactive communication in the presence of adversarial errors and present tight bounds on the tolerable error-rates in a ...
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https://people.csail.mit.edu/ghaffari/papers/interactive_protocol1.pdf
Abstract. We consider the task of interactive communication in the presence of adversarial errors and present tight bounds on the tolerable error-rates in a ...
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5
Correcting the Optimal Resampling-Based Error Rate ... - JSTOR
https://www.jstor.org/stable/24538135
Correcting the Optimal Resampling-Based Error Rate by Estimating the Error Rate of Wrapper Algorithms. Christoph Bernau,1'* Thomas Augustin2, ...
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https://www.jstor.org/stable/24538135
Correcting the Optimal Resampling-Based Error Rate by Estimating the Error Rate of Wrapper Algorithms. Christoph Bernau,1'* Thomas Augustin2, ...
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6
(PDF) To Reduce Error Rate and Improve Performance of ...
https://www.researchgate.net/publication/347373947_To_Reduce_Error_Rate_and_Improve_Performance_of_Classification_Algorithm
A set of existing algorithms as well as new ones can be derived naturally from this framework. As an example, we show that the Relief algorithm ...
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https://www.researchgate.net/publication/347373947_To_Reduce_Error_Rate_and_Improve_Performance_of_Classification_Algorithm
A set of existing algorithms as well as new ones can be derived naturally from this framework. As an example, we show that the Relief algorithm ...
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7
Accuracy (error rate) Definition - DeepAI
https://deepai.org/machine-learning-glossary-and-terms/accuracy-error-rate
The accuracy of a machine learning classification algorithm is one way to measure how often the algorithm classifies a data point correctly.
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https://deepai.org/machine-learning-glossary-and-terms/accuracy-error-rate
The accuracy of a machine learning classification algorithm is one way to measure how often the algorithm classifies a data point correctly.
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8
Maximum Likelihood Estimation of Observer Error-Rates ...
https://canvas.northwestern.edu/courses/65895/files/4174911/download?verifier=lUyedGR8Yb7I4NwFOtosvJqir8Oc6huVBwBgI5ko&wrap=1
Error-rates using the EM Algorithm ... error-rates for the kth observer, although this set inclues 7 j = 1, ...,J, which are the probabilities that.
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https://canvas.northwestern.edu/courses/65895/files/4174911/download?verifier=lUyedGR8Yb7I4NwFOtosvJqir8Oc6huVBwBgI5ko&wrap=1
Error-rates using the EM Algorithm ... error-rates for the kth observer, although this set inclues 7 j = 1, ...,J, which are the probabilities that.
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9
Least-Error-Rate Replacement Algorithm for Emerging STT ...
https://ieeexplore.ieee.org/document/7464296
This is done by comparing the contents of the incoming block with lines in a cache set. Compared with Least Recently Used (LRU) algorithm, LER ...
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https://ieeexplore.ieee.org/document/7464296
This is done by comparing the contents of the incoming block with lines in a cache set. Compared with Least Recently Used (LRU) algorithm, LER ...
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10
Total Error Rate - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/computer-science/total-error-rate
Setting the a priori decision threshold for speaker verification is another important issue. In most laboratory speaker recognition experiments, the threshold ...
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https://www.sciencedirect.com/topics/computer-science/total-error-rate
Setting the a priori decision threshold for speaker verification is another important issue. In most laboratory speaker recognition experiments, the threshold ...
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11
Graphical algorithms and threshold error rates for the 2d ...
https://www.academia.edu/13860406/Graphical_algorithms_and_threshold_error_rates_for_the_2d_colour_code
The results in the ideal syndrome extraction limit by direct simulation of the error correction procedure are shown in figure 15. The data points are obtained ...
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https://www.academia.edu/13860406/Graphical_algorithms_and_threshold_error_rates_for_the_2d_colour_code
The results in the ideal syndrome extraction limit by direct simulation of the error correction procedure are shown in figure 15. The data points are obtained ...
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12
Bit Error Rate Analysis Techniques - MATLAB & Simulink
https://www.mathworks.com/help/comm/ug/bit-error-rate-analysis-techniques.html
Curve fitting can be useful when you have a small or imperfect data set but want to plot a smooth curve for presentation purposes. The berfit function includes ...
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https://www.mathworks.com/help/comm/ug/bit-error-rate-analysis-techniques.html
Curve fitting can be useful when you have a small or imperfect data set but want to plot a smooth curve for presentation purposes. The berfit function includes ...
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13
An Algorithm for Bit Error Rate Monitoring and Adaptive ...
https://opg.optica.org/viewmedia.cfm?uri=josk-14-1-22&seq=0
Keywords : Adaptive decision threshold optimization, Bit-error rate (BER) monitoring, ... set on the averaged DC level of the received signal with-.
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https://opg.optica.org/viewmedia.cfm?uri=josk-14-1-22&seq=0
Keywords : Adaptive decision threshold optimization, Bit-error rate (BER) monitoring, ... set on the averaged DC level of the received signal with-.
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14
Assignment#3 Solutions (Chapter 4) - UMIACS
http://www.umiacs.umd.edu/~joseph/classes/enee752/Fall09/solutions3.pdf
The following table summarizes a data set with three attributes A, B, ... (a) According to the classification error rate, which attribute would be chosen as ...
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http://www.umiacs.umd.edu/~joseph/classes/enee752/Fall09/solutions3.pdf
The following table summarizes a data set with three attributes A, B, ... (a) According to the classification error rate, which attribute would be chosen as ...
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15
AUC Optimization vs. Error Rate Minimization - NIPS papers
https://papers.nips.cc/paper/2518-auc-optimization-vs-error-rate-minimization
However, the objective function optimized in most of these algorithms is the error rate and not the AUC value. We give a detailed statistical analysis of ...
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https://papers.nips.cc/paper/2518-auc-optimization-vs-error-rate-minimization
However, the objective function optimized in most of these algorithms is the error rate and not the AUC value. We give a detailed statistical analysis of ...
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16
Word Error Rate over Data Set - Cross Validated
https://stats.stackexchange.com/questions/333501/word-error-rate-over-data-set
The second version is the most commonly used one. E.g. in Kaldi's compute-wer.cc you can see that they do not normalize by length for each short ground-truth ...
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https://stats.stackexchange.com/questions/333501/word-error-rate-over-data-set
The second version is the most commonly used one. E.g. in Kaldi's compute-wer.cc you can see that they do not normalize by length for each short ground-truth ...
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17
Word error rate - Wikipedia
https://en.wikipedia.org/wiki/Word_error_rate
Word error rate (WER) is a common metric of the performance of a speech recognition or machine translation system. The general difficulty of measuring ...
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https://en.wikipedia.org/wiki/Word_error_rate
Word error rate (WER) is a common metric of the performance of a speech recognition or machine translation system. The general difficulty of measuring ...
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18
Error Rate Thresholds for Physical Implementations of the ...
http://www.cs.columbia.edu/~stuartah/SH_Thesis_2008.pdf
Quantum error correction algorithms allow for the identification (detection) and correction of errors through redundant encoding. Typically, a ...
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http://www.cs.columbia.edu/~stuartah/SH_Thesis_2008.pdf
Quantum error correction algorithms allow for the identification (detection) and correction of errors through redundant encoding. Typically, a ...
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19
Analysis of Minimax Error Rate for Crowdsourcing and Its ...
http://proceedings.mlr.press/v80/imamura18a/imamura18a.pdf
ror rate under more practical setting for a broader class of crowdsourcing models including ... ative algorithm for binary labeling problems which is not.
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http://proceedings.mlr.press/v80/imamura18a/imamura18a.pdf
ror rate under more practical setting for a broader class of crowdsourcing models including ... ative algorithm for binary labeling problems which is not.
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20
This script calculates Phoneme Error Rate using package ...
https://gist.github.com/brianlan/954082454b25d7eb7abd612ba61c6a66
This script calculates Phoneme Error Rate using package leven (edit distance algorithm). Users can also choose whether to merge phonemes (refer to the paper ...
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https://gist.github.com/brianlan/954082454b25d7eb7abd612ba61c6a66
This script calculates Phoneme Error Rate using package leven (edit distance algorithm). Users can also choose whether to merge phonemes (refer to the paper ...
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21
A bias correction for the minimum error rate in cross-validation
https://projecteuclid.org/journals/annals-of-applied-statistics/volume-3/issue-2/A-bias-correction-for-the-minimum-error-rate-in-cross/10.1214/08-AOAS224.pdf
algorithm requires an initial choice for a “target error rate,” which ... posed bias estimate is 0.027, giving an adjusted error of 0.047 + 0.027 = 0.074, ...
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https://projecteuclid.org/journals/annals-of-applied-statistics/volume-3/issue-2/A-bias-correction-for-the-minimum-error-rate-in-cross/10.1214/08-AOAS224.pdf
algorithm requires an initial choice for a “target error rate,” which ... posed bias estimate is 0.027, giving an adjusted error of 0.047 + 0.027 = 0.074, ...
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22
NanoReviser: An Error-Correction Tool for Nanopore ...
https://www.frontiersin.org/articles/10.3389/fgene.2020.00900/full
... on a deep learning algorithm to correct the basecalling errors ... NanoReviser reduced the sequencing error rate by over 5% for both the ...
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https://www.frontiersin.org/articles/10.3389/fgene.2020.00900/full
... on a deep learning algorithm to correct the basecalling errors ... NanoReviser reduced the sequencing error rate by over 5% for both the ...
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23
study of the relationship of training set size to error rate in yet ...
https://ttu-ir.tdl.org/bitstream/handle/2346/13496/Ratheesh_Raghavan.pdf?sequence=1
Classification algorithms are the among the widely used data mining techniques for prediction. Among their different types, the decision tree is a ...
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https://ttu-ir.tdl.org/bitstream/handle/2346/13496/Ratheesh_Raghavan.pdf?sequence=1
Classification algorithms are the among the widely used data mining techniques for prediction. Among their different types, the decision tree is a ...
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24
A character-level Error Analysis Technique for Evaluating Text ...
https://www.yorku.ca/mack/nordichi2002-shortpaper.html
Using an algorithm for sequence comparisons, we generate the set of optimal ... Text entry, error rates, mobile computing, minimum string distance, ...
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https://www.yorku.ca/mack/nordichi2002-shortpaper.html
Using an algorithm for sequence comparisons, we generate the set of optimal ... Text entry, error rates, mobile computing, minimum string distance, ...
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25
Regularization and Search for Minimum Error Rate Training
https://nlp.stanford.edu/manning/papers/mert_smoothing_camera.pdf
It is shown that the stochastic method obtains test set gains of +0.98 BLEU on MT03 and +0.61 BLEU on MT05. We also present a method for regularizing the MERT ...
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https://nlp.stanford.edu/manning/papers/mert_smoothing_camera.pdf
It is shown that the stochastic method obtains test set gains of +0.98 BLEU on MT03 and +0.61 BLEU on MT05. We also present a method for regularizing the MERT ...
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26
Random forests - classification description - Berkeley Statistics
https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm
If the test set is drawn from the same distribution as the training set, it gives an error rate of 3.7%. As the proportion of missing increases, using a fill ...
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https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm
If the test set is drawn from the same distribution as the training set, it gives an error rate of 3.7%. As the proportion of missing increases, using a fill ...
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27
Lecture 8: Assembly - Towards a Long Reads Assembler
http://data-science-sequencing.github.io/Win2018/lectures/lecture8/
This percentage depends on the error rate. The approximate percentage should intuitively be = (1 - 2 x error rate). For example, a 1% error rate ...
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http://data-science-sequencing.github.io/Win2018/lectures/lecture8/
This percentage depends on the error rate. The approximate percentage should intuitively be = (1 - 2 x error rate). For example, a 1% error rate ...
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28
Analysis of error profiles in deep next-generation sequencing ...
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1659-6
By evaluating read-specific error distributions, we discover that the substitution error rate can be computationally suppressed to 10−5 to 10− ...
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https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1659-6
By evaluating read-specific error distributions, we discover that the substitution error rate can be computationally suppressed to 10−5 to 10− ...
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29
Failure of Classification Accuracy for Imbalanced Class ...
https://machinelearningmastery.com/failure-of-accuracy-for-imbalanced-class-distributions/
Conversely, the error rate can be calculated as the total number of incorrect predictions made on the test set divided by all predictions ...
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https://machinelearningmastery.com/failure-of-accuracy-for-imbalanced-class-distributions/
Conversely, the error rate can be calculated as the total number of incorrect predictions made on the test set divided by all predictions ...
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30
Optimizing expected word error rate via sampling for speech ...
https://research.google.com/pubs/archive/d48e71155cb8013dd0d9d43414225225ee832ea5.pdf
However expected word edit distance over a lattice is harder to compute than the expected frame-level loss used by sMBR training. As a result, many ...
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https://research.google.com/pubs/archive/d48e71155cb8013dd0d9d43414225225ee832ea5.pdf
However expected word edit distance over a lattice is harder to compute than the expected frame-level loss used by sMBR training. As a result, many ...
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31
Stabilizing Minimum Error Rate Training - CiteSeerX
http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=85D254D4A756122C0DF3A3337BF138E9?doi=10.1.1.605.2817&rep=rep1&type=pdf
Stabilizing Minimum Error Rate Training ... Rate Training (MERT) aims to find the set of log- ... gradient-based optimization algorithms cannot be.
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http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=85D254D4A756122C0DF3A3337BF138E9?doi=10.1.1.605.2817&rep=rep1&type=pdf
Stabilizing Minimum Error Rate Training ... Rate Training (MERT) aims to find the set of log- ... gradient-based optimization algorithms cannot be.
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32
Word Error Rate Calculation - Martin Thoma
https://martin-thoma.com/word-error-rate-calculation/
The Word Error Rate (short: WER) is a way to measure performance of an ASR ... of pseudocode to make it even easier to code this algorithm:.
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https://martin-thoma.com/word-error-rate-calculation/
The Word Error Rate (short: WER) is a way to measure performance of an ASR ... of pseudocode to make it even easier to code this algorithm:.
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33
Error Rate Analysis for Grant-free Massive Random Access ...
https://arxiv.org/pdf/2205.05304
paper, we focus on the error rate analysis in grant-free massive ... When the algorithm converges, the set of active users is.
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https://arxiv.org/pdf/2205.05304
paper, we focus on the error rate analysis in grant-free massive ... When the algorithm converges, the set of active users is.
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34
Minimum Error Rate Training in Statistical Machine Translation
https://aclanthology.org/P03-1021.pdf
The new algorithm is much faster and more stable than the grid-based line optimization method. Computing the most probable sentence out of a set of candidate ...
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https://aclanthology.org/P03-1021.pdf
The new algorithm is much faster and more stable than the grid-based line optimization method. Computing the most probable sentence out of a set of candidate ...
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35
NanoReviser: An Error-Correction Tool for Nanopore ... - NCBI
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434944/
We used the Adam (adaptive moment estimation) algorithm with the ... The error rate on the k type methylated areas could be denoted as:.
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434944/
We used the Adam (adaptive moment estimation) algorithm with the ... The error rate on the k type methylated areas could be denoted as:.
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36
Char Error Rate — PyTorch-Metrics 0.10.3 documentation
https://torchmetrics.readthedocs.io/en/stable/text/char_error_rate.html
Character Error Rate (CER) is a metric of the performance of an automatic speech recognition (ASR) system. ... Compute CharErrorRate score of transcribed segments ...
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https://torchmetrics.readthedocs.io/en/stable/text/char_error_rate.html
Character Error Rate (CER) is a metric of the performance of an automatic speech recognition (ASR) system. ... Compute CharErrorRate score of transcribed segments ...
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37
IS WORD ERROR RATE A GOOD INDICATOR FOR SPOKEN ...
https://www.microsoft.com/en-us/research/wp-content/uploads/2003/01/2003-wang-acero-chelba-asru.pdf
with an example-based learning algorithm that optimized the understanding accuracy. Although the speech recognition word error rate is 46% higher than the ...
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https://www.microsoft.com/en-us/research/wp-content/uploads/2003/01/2003-wang-acero-chelba-asru.pdf
with an example-based learning algorithm that optimized the understanding accuracy. Although the speech recognition word error rate is 46% higher than the ...
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38
CS345, Machine Learning, Entropy-Based Decision Tree ...
http://www.cs.bc.edu/~alvarez/ML/statPruning.html
The heart of the statistical pruning technique is the calculation of a confidence interval for the error rate. In brief, one starts from an observed error rate ...
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http://www.cs.bc.edu/~alvarez/ML/statPruning.html
The heart of the statistical pruning technique is the calculation of a confidence interval for the error rate. In brief, one starts from an observed error rate ...
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39
Evaluation of Classifiers - Oregon State University
https://web.engr.oregonstate.edu/~tgd/classes/534/slides/part13.pdf
Estimating the error rate of a classifier ... Many learning algorithms provide a way to do this: ... adjust the classification threshold between 0 and 1.
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https://web.engr.oregonstate.edu/~tgd/classes/534/slides/part13.pdf
Estimating the error rate of a classifier ... Many learning algorithms provide a way to do this: ... adjust the classification threshold between 0 and 1.
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40
Correction of sequencing errors in a mixed set of reads
https://academic.oup.com/bioinformatics/article/26/10/1284/194027
We also show that the error rate of the reads is greatly reduced. ... We will now modify the statistical model of the SHREC algorithm to accommodate for ...
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https://academic.oup.com/bioinformatics/article/26/10/1284/194027
We also show that the error rate of the reads is greatly reduced. ... We will now modify the statistical model of the SHREC algorithm to accommodate for ...
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41
Machine Learning — An Error by Any Other Name…
https://towardsdatascience.com/machine-learning-an-error-by-any-other-name-a7760a702c4d
If the probability is equal to or less than .05 (although depending on the use case that may change) then the result is often said to be ...
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https://towardsdatascience.com/machine-learning-an-error-by-any-other-name-a7760a702c4d
If the probability is equal to or less than .05 (although depending on the use case that may change) then the result is often said to be ...
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42
Investigate an error rate increase
https://docs.lightstep.com/docs/investigate-an-error-rate-increase
When you do notice an increase in the error rate for an operation, you can use the RCA view to compare a point of time when the error rate was ...
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https://docs.lightstep.com/docs/investigate-an-error-rate-increase
When you do notice an increase in the error rate for an operation, you can use the RCA view to compare a point of time when the error rate was ...
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43
Basic Concepts, Decision Trees, and Model Evaluation
https://www-users.cse.umn.edu/~kumar001/dmbook/ch4.pdf
Most classification algorithms seek models that attain the highest accuracy, or equivalently, the lowest error rate when applied to the test set.
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https://www-users.cse.umn.edu/~kumar001/dmbook/ch4.pdf
Most classification algorithms seek models that attain the highest accuracy, or equivalently, the lowest error rate when applied to the test set.
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44
Decoding Linear Codes with High Error Rate and its Impact for ...
https://eprint.iacr.org/2017/1139.pdf
1, our new algorithm achieves in the. Full Distance Decoding setting 20.0885n, which is a quite remarkable improvement over the current state of the art.
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https://eprint.iacr.org/2017/1139.pdf
1, our new algorithm achieves in the. Full Distance Decoding setting 20.0885n, which is a quite remarkable improvement over the current state of the art.
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45
Comparison of algorithms for error prediction in manufacturing ...
https://link.springer.com/article/10.1007/s10845-021-01890-0
We also consider the unbalanced data problem and tackle this by adjusting the hyperparameter within the optimization. Literature for cost-based ...
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https://link.springer.com/article/10.1007/s10845-021-01890-0
We also consider the unbalanced data problem and tackle this by adjusting the hyperparameter within the optimization. Literature for cost-based ...
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46
2.3 Computing error rates - Text Digitisation - Google Sites
https://sites.google.com/site/textdigitisation/qualitymeasures/computingerrorrates
However, finding the optimal set of basic operations is not trivial, at least for lengthy and noisy outputs. Fortunately, there are computational procedures ...
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https://sites.google.com/site/textdigitisation/qualitymeasures/computingerrorrates
However, finding the optimal set of basic operations is not trivial, at least for lengthy and noisy outputs. Fortunately, there are computational procedures ...
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47
Minimum error rate training - Cohen Courses
http://curtis.ml.cmu.edu/w/courses/index.php/Minimum_error_rate_training
1 Citation · 2 Background · 3 Optimization Problem · 4 Training Algorithm · 5 Benefits · 6 Drawbacks · 7 Related Work ...
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http://curtis.ml.cmu.edu/w/courses/index.php/Minimum_error_rate_training
1 Citation · 2 Background · 3 Optimization Problem · 4 Training Algorithm · 5 Benefits · 6 Drawbacks · 7 Related Work ...
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48
In sample and out of sample error - RPubs
https://rpubs.com/cbarco/In_sample_and_out_of_sample_error
In Sample Error: The error rate you get on the same data set you ... sometimes your prediction algorithm will tune itself a little bit to ...
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https://rpubs.com/cbarco/In_sample_and_out_of_sample_error
In Sample Error: The error rate you get on the same data set you ... sometimes your prediction algorithm will tune itself a little bit to ...
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49
Genetic Algorithm Assisted Minimum Bit Error Rate ...
https://www.southampton.ac.uk/~sqc/listP/vtc04s_GA.pdf
imum Bit Error Rate Rate (MBER) beamforming technique is introduced. ... array by adjusting the array weights so that a certain optimisation.
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https://www.southampton.ac.uk/~sqc/listP/vtc04s_GA.pdf
imum Bit Error Rate Rate (MBER) beamforming technique is introduced. ... array by adjusting the array weights so that a certain optimisation.
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50
1 Decision Trees 2 Classification Error
https://www.cs.princeton.edu/courses/archive/spr07/cos424/scribe_notes/0220.pdf
of size vs. error (where error is the probability of making a mistake). ... During training, the learning algorithm is given a set of.
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https://www.cs.princeton.edu/courses/archive/spr07/cos424/scribe_notes/0220.pdf
of size vs. error (where error is the probability of making a mistake). ... During training, the learning algorithm is given a set of.
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51
Computing the Soft Error Rate of a Combinational Logic ...
https://blaauw.engin.umich.edu/wp-content/uploads/sites/342/2017/11/264.pdf
described by a discrete set of error rate numbers. The proposed algorithm proceeds in a bottom-up fashion by injecting SET descriptors at each node and then ...
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https://blaauw.engin.umich.edu/wp-content/uploads/sites/342/2017/11/264.pdf
described by a discrete set of error rate numbers. The proposed algorithm proceeds in a bottom-up fashion by injecting SET descriptors at each node and then ...
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52
P-Values, Error Rates, and False Positives - Statistics By Jim
https://statisticsbyjim.com/hypothesis-testing/p-values-error-rates-false-positives/
Yes but I am not looking for the error rate after the simulation is done. I need a way to control the error rate before the algorithm run. And intuitively there ...
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https://statisticsbyjim.com/hypothesis-testing/p-values-error-rates-false-positives/
Yes but I am not looking for the error rate after the simulation is done. I need a way to control the error rate before the algorithm run. And intuitively there ...
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53
AUC Optimization vs. Error Rate Minimization
https://cs.nyu.edu/~mohri/pub/auc.pdf
mized by most classification algorithms is the error rate and not the AUC. Recently, several ... denote by 1X the indicator function of a set X.
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https://cs.nyu.edu/~mohri/pub/auc.pdf
mized by most classification algorithms is the error rate and not the AUC. Recently, several ... denote by 1X the indicator function of a set X.
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54
Testing classifier accuracy - Stony Brook Computer Science
https://www3.cs.stonybrook.edu/~cse634/lecture_notes/07testing.pdf
Error rate: a percentage of errors made over ... classified data in the testing data set. ... us ONLY whether the algorithm used in the training is.
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https://www3.cs.stonybrook.edu/~cse634/lecture_notes/07testing.pdf
Error rate: a percentage of errors made over ... classified data in the testing data set. ... us ONLY whether the algorithm used in the training is.
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55
Using Bayes Error Rate Estimation to Analyze Feature Spaces
https://math.dartmouth.edu/theses/undergrad/2020/Bapatla-thesis.pdf
Learning Rate and Momentum. As described earlier, there are many ways to modify the gradient descent algorithm, and this is a field that is rich with research, ...
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https://math.dartmouth.edu/theses/undergrad/2020/Bapatla-thesis.pdf
Learning Rate and Momentum. As described earlier, there are many ways to modify the gradient descent algorithm, and this is a field that is rich with research, ...
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56
Improvements to Error-Rate Alerting | Mux blog
https://www.mux.com/blog/improvements-to-error-rate-alerting
We used statistical methods to calculate thresholds representative of highly-unusual error-rates, tailored to each error-type across all Mux ...
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https://www.mux.com/blog/improvements-to-error-rate-alerting
We used statistical methods to calculate thresholds representative of highly-unusual error-rates, tailored to each error-type across all Mux ...
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57
Algorithmic bias detection and mitigation: Best practices and ...
https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
As a result, algorithms, which are a set of step-by-step ... According to Buolamwini's research, the product error rates for the three ...
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https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
As a result, algorithms, which are a set of step-by-step ... According to Buolamwini's research, the product error rates for the three ...
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58
How to generate a line chart/graph for Error Rate ...
https://stackoverflow.com/questions/39443963/how-to-generate-a-line-chart-graph-for-error-rate-recognition-rate-in-varying
I need to find the recognition rate and error rate in all these ... just variations to the training set and the input to the algorithm?
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https://stackoverflow.com/questions/39443963/how-to-generate-a-line-chart-graph-for-error-rate-recognition-rate-in-varying
I need to find the recognition rate and error rate in all these ... just variations to the training set and the input to the algorithm?
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59
MASkIt: Soft Error Rate Estimation for Combinational Circuits
https://webs.um.es/jlaragon/papers/anglada_ICCD16.pdf
In the second stage, signal probabilities are used to compute the vulnerability of all the gates in a combinational block using a backward-traversing algorithm ...
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https://webs.um.es/jlaragon/papers/anglada_ICCD16.pdf
In the second stage, signal probabilities are used to compute the vulnerability of all the gates in a combinational block using a backward-traversing algorithm ...
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60
High Error Rate Qubit Routing - RIT Scholar Works
https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=12333&context=theses
shown that different circuit benefit from different routing algorithms. ... A link between one set of qubit could have a CNOT error rate of 2% while.
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https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=12333&context=theses
shown that different circuit benefit from different routing algorithms. ... A link between one set of qubit could have a CNOT error rate of 2% while.
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61
US20140254649A1 - Rate adaptation algorithm using raw bit error ...
https://patents.google.com/patent/US20140254649A1/en
The physical interface setting can be modified in accordance with a determined difference between the target and the actual raw bit error rates.
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https://patents.google.com/patent/US20140254649A1/en
The physical interface setting can be modified in accordance with a determined difference between the target and the actual raw bit error rates.
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62
Basic evaluation measures from the confusion matrix
https://classeval.wordpress.com/introduction/basic-evaluation-measures/
Error rate calculation. Error rate is calculated as the total number of two incorrect predictions (FN + FP) divided by the total number of a dataset (P + N) ...
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https://classeval.wordpress.com/introduction/basic-evaluation-measures/
Error rate calculation. Error rate is calculated as the total number of two incorrect predictions (FN + FP) divided by the total number of a dataset (P + N) ...
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63
The Commonly Used Statistical Methods to Control the ...
https://support.sas.com/resources/papers/proceedings14/1305-2014.pdf
1: Bonferroni method: Bonferroni method can strictly control type I error rate within 0.05. the. Alpha adjusted by Bonferroni method is calculated by 0.05/m(m ...
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https://support.sas.com/resources/papers/proceedings14/1305-2014.pdf
1: Bonferroni method: Bonferroni method can strictly control type I error rate within 0.05. the. Alpha adjusted by Bonferroni method is calculated by 0.05/m(m ...
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64
Logical error rate scaling of the toric code - IOPscience
https://iopscience.iop.org/article/10.1088/1367-2630/16/9/093045
We use a perfect matching decoding algorithm to find the scaling of the logical error rate and find two distinct operating regimes. The first regime admits ...
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https://iopscience.iop.org/article/10.1088/1367-2630/16/9/093045
We use a perfect matching decoding algorithm to find the scaling of the logical error rate and find two distinct operating regimes. The first regime admits ...
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65
What is Overfitting? - IBM
https://www.ibm.com/cloud/learn/overfitting
Low error rates and a high variance are good indicators of overfitting. In order to prevent this type of behavior, part of the training ...
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https://www.ibm.com/cloud/learn/overfitting
Low error rates and a high variance are good indicators of overfitting. In order to prevent this type of behavior, part of the training ...
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66
Controlling Type 1 Error Rate in Evaluating Differential Item ...
https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1066&context=eps_diss
This dissertation, CONTROLLING TYPE I ERROR RATE IN EVALUATING. DIFFERENTIAL ITEM FUNCTIONING FOR FOUR DIF METHODS: USE OF. THREE PROCEDURES FOR ADJUSTMENT ...
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https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1066&context=eps_diss
This dissertation, CONTROLLING TYPE I ERROR RATE IN EVALUATING. DIFFERENTIAL ITEM FUNCTIONING FOR FOUR DIF METHODS: USE OF. THREE PROCEDURES FOR ADJUSTMENT ...
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67
Imperialist competitive algorithm for minimum bit error rate ...
https://sites.ualberta.ca/~khabbazi/Imperialist2009.pdf
The results are compared to that of both a genetic algorithm (GA) and the optimal array obtained by a properly set gradient based algorithm. Comparison shows ...
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https://sites.ualberta.ca/~khabbazi/Imperialist2009.pdf
The results are compared to that of both a genetic algorithm (GA) and the optimal array obtained by a properly set gradient based algorithm. Comparison shows ...
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68
How Do I Measure the Bit Error Rate (BER) to a Given ...
https://edadocs.software.keysight.com/kkbopen/how-do-i-measure-the-bit-error-rate-ber-to-a-given-confidence-level-on-the-j-bert-m8020a-and-the-m8040a-high-performance-bert-588276182.html
How Do I Measure the Bit Error Rate (BER) to a Given Confidence Level on the J-BERT M8020A and the M8040A High-Performance BERT? · Set up the Error Detector for ...
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https://edadocs.software.keysight.com/kkbopen/how-do-i-measure-the-bit-error-rate-ber-to-a-given-confidence-level-on-the-j-bert-m8020a-and-the-m8040a-high-performance-bert-588276182.html
How Do I Measure the Bit Error Rate (BER) to a Given Confidence Level on the J-BERT M8020A and the M8040A High-Performance BERT? · Set up the Error Detector for ...
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69
Weka Tutorial 12: Cross Validation Error Rates (Model ...
https://www.youtube.com/watch?v=tpZVUyFMPRU
Rushdi Shams
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https://www.youtube.com/watch?v=tpZVUyFMPRU
Rushdi Shams
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70
Nearest Neighbor Classification - UCSD CSE
https://cseweb.ucsd.edu/~elkan/151/nearestn.pdf
algorithm uses a fixed set of basis points B whose distances to every ... The Bayes error rate for a classification problem is the minimum.
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https://cseweb.ucsd.edu/~elkan/151/nearestn.pdf
algorithm uses a fixed set of basis points B whose distances to every ... The Bayes error rate for a classification problem is the minimum.
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71
Resilient Scheduling of Moldable Parallel Jobs to Cope with ...
https://hal.inria.fr/hal-02614215/file/rr9340-v2.pdf
a moldable job allows a variable set of resources for scheduling but ... we present an improved algorithm with an approximation ratio of 3.
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https://hal.inria.fr/hal-02614215/file/rr9340-v2.pdf
a moldable job allows a variable set of resources for scheduling but ... we present an improved algorithm with an approximation ratio of 3.
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72
US Patent for State based algorithm to minimize mean squared error ...
https://patents.justia.com/patent/7702053
The dithering algorithm may be applied to more than one parameter. The dithering algorithm may include a state machine to alter the rate of change dependent on ...
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https://patents.justia.com/patent/7702053
The dithering algorithm may be applied to more than one parameter. The dithering algorithm may include a state machine to alter the rate of change dependent on ...
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73
Difference between True Error & Sample Error - Data Analytics
https://vitalflux.com/difference-between-true-error-sample-error/
The true error or true risk of a hypothesis is the probability (or ... Let's say that the random forest algorithm with a particular set of ...
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https://vitalflux.com/difference-between-true-error-sample-error/
The true error or true risk of a hypothesis is the probability (or ... Let's say that the random forest algorithm with a particular set of ...
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74
Evaluation Metrics Machine Learning - Analytics Vidhya
https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/
RMSE is the most popular evaluation metric used in regression problems. It follows an assumption that error are unbiased and follow a normal distribution. Here ...
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https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/
RMSE is the most popular evaluation metric used in regression problems. It follows an assumption that error are unbiased and follow a normal distribution. Here ...
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75
Efficient minimum word error rate training of RNN-transducer ...
https://www.amazon.science/publications/efficient-minimum-word-error-rate-training-of-rnn-transducer-for-end-to-end-speech-recognition
The hypothesis probability scores and back-propagated gradients are calculated efficiently using the forward-backward algorithm. Moreover, the proposed method ...
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https://www.amazon.science/publications/efficient-minimum-word-error-rate-training-of-rnn-transducer-for-end-to-end-speech-recognition
The hypothesis probability scores and back-propagated gradients are calculated efficiently using the forward-backward algorithm. Moreover, the proposed method ...
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76
Training & Test Error: Validating Models in Machine Learning
https://rapidminer.com/blog/validate-models-training-test-error/
But in the worst case, a model performing unexpectedly can cost ... you to select the best-performing algorithm for it and fine-tune its ...
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https://rapidminer.com/blog/validate-models-training-test-error/
But in the worst case, a model performing unexpectedly can cost ... you to select the best-performing algorithm for it and fine-tune its ...
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77
An Improved Data Rate Change Algorithm based on Adaptive ...
https://search.proquest.com/openview/3f29264ac22b32de452e3081f6a52b78/1?pq-origsite=gscholar&cbl=4998670
In order to solve the high bit error rate (BER) caused by rate oscillation in traditional Data Rate Change (DRC) algorithm, an improved DRC algorithm based ...
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https://search.proquest.com/openview/3f29264ac22b32de452e3081f6a52b78/1?pq-origsite=gscholar&cbl=4998670
In order to solve the high bit error rate (BER) caused by rate oscillation in traditional Data Rate Change (DRC) algorithm, an improved DRC algorithm based ...
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78
Comprehensive Evaluation of Error-Correction Methodologies ...
https://exonpublications.com/index.php/exon/article/view/273/509
This is accomplished through a set of algorithms we have developed and implemented ... ONT's MinION reads can have over 35% error rate (23).
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https://exonpublications.com/index.php/exon/article/view/273/509
This is accomplished through a set of algorithms we have developed and implemented ... ONT's MinION reads can have over 35% error rate (23).
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79
REVIEW OF MINIMUM CLASSIFICATION ERROR TRAINING ...
http://robotics.caltech.edu/~zoran/Reading/sundaram.pdf
probability is minimized based on a given set of ... Classification Error (MCE) algorithm is one such ... MCE algorithm and the authors propose a new.
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http://robotics.caltech.edu/~zoran/Reading/sundaram.pdf
probability is minimized based on a given set of ... Classification Error (MCE) algorithm is one such ... MCE algorithm and the authors propose a new.
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80
Minimizing The Misclassification Error Rate Using a Surrogate ...
https://www.semanticscholar.org/paper/Minimizing-The-Misclassification-Error-Rate-Using-a-Ben-David-Loker/7fae501d1b289a4e61d2aea1ff7d5faae92927af
We consider the agnostic setting, and investigate guarantees on the misclassification error of the loss-minimizer in terms of the margin error rate of the ...
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https://www.semanticscholar.org/paper/Minimizing-The-Misclassification-Error-Rate-Using-a-Ben-David-Loker/7fae501d1b289a4e61d2aea1ff7d5faae92927af
We consider the agnostic setting, and investigate guarantees on the misclassification error of the loss-minimizer in terms of the margin error rate of the ...
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81
Analysis of Clustering Algorithm Based on Number of Clusters ...
https://www.ijettcs.org/Volume2Issue6/IJETTCS-2013-12-04-046.pdf
Clustering methods partition a set of data items into clusters, such that items in the same cluster are more ... Number of Clusters, Error Rate, Computation.
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https://www.ijettcs.org/Volume2Issue6/IJETTCS-2013-12-04-046.pdf
Clustering methods partition a set of data items into clusters, such that items in the same cluster are more ... Number of Clusters, Error Rate, Computation.
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82
Cross-Validation Essentials in R - Articles - STHDA
http://www.sthda.com/english/articles/38-regression-model-validation/157-cross-validation-essentials-in-r/
In classification setting, the prediction error rate is estimated as ... Briefly, cross-validation algorithms can be summarized as follow:.
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http://www.sthda.com/english/articles/38-regression-model-validation/157-cross-validation-essentials-in-r/
In classification setting, the prediction error rate is estimated as ... Briefly, cross-validation algorithms can be summarized as follow:.
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83
When adjusting for the bias due to linkage errors - IOS Press
https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji170377
Chambers [11] defines an exchangeable linkage errors model by assuming that the probability of correct linkage is the same for all records, or ...
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https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji170377
Chambers [11] defines an exchangeable linkage errors model by assuming that the probability of correct linkage is the same for all records, or ...
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84
Models and Algorithms for Soft Error Rate Estimation in ICs
https://ir.lib.uth.gr/xmlui/bitstream/handle/11615/56799/23517.pdf?sequence=1
SEMTs Single Event Multiple Transients. SER. Soft Error Rate. SET ... thesis, the proposed tool bases on an algorithm designed to model ...
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https://ir.lib.uth.gr/xmlui/bitstream/handle/11615/56799/23517.pdf?sequence=1
SEMTs Single Event Multiple Transients. SER. Soft Error Rate. SET ... thesis, the proposed tool bases on an algorithm designed to model ...
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85
AI could reduce human error rate - Hello Future Orange
https://hellofuture.orange.com/en/ai-reduce-human-error-rate/
Humans can rely on an algorithm to reduce the risk of error in their ... So, it was in perfect compliance with the set of instructions.
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https://hellofuture.orange.com/en/ai-reduce-human-error-rate/
Humans can rely on an algorithm to reduce the risk of error in their ... So, it was in perfect compliance with the set of instructions.
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86
Lecture 9: Generalization
https://www.cs.toronto.edu/~lczhang/321/notes/notes09.pdf
Fortunately, there's a very convenient way to measure an algorithm's ... We defined a cost function, the average loss over the training set:.
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https://www.cs.toronto.edu/~lczhang/321/notes/notes09.pdf
Fortunately, there's a very convenient way to measure an algorithm's ... We defined a cost function, the average loss over the training set:.
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87
Detecting Positioning Errors and Estimating Correct ... - PLOS
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143618
In this research, a detection algorithm is implemented to detect erroneous data over a continuous positioning data set with several options. Our ...
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https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143618
In this research, a detection algorithm is implemented to detect erroneous data over a continuous positioning data set with several options. Our ...
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88
WYOUNG: control the family-wise error rate when performing ...
https://julianreif.com/wyoung/
It also computes the Bonferroni-Holm and Sidak-Holm adjusted p-values. Algorithm details and simulation test results are documented here.
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https://julianreif.com/wyoung/
It also computes the Bonferroni-Holm and Sidak-Holm adjusted p-values. Algorithm details and simulation test results are documented here.
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89
What are the factors that affect the error rate in the KNN ...
https://www.quora.com/What-are-the-factors-that-affect-the-error-rate-in-the-KNN-algorithm
This can be resolved by using a very large training set but with increased memory and computational complexity since for data points for both memory and ...
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https://www.quora.com/What-are-the-factors-that-affect-the-error-rate-in-the-KNN-algorithm
This can be resolved by using a very large training set but with increased memory and computational complexity since for data points for both memory and ...
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90
A Probabilistic Model for Soft-Error Rate Estimation in ...
https://www.cs.york.ac.uk/rts/partes04/final/11_kim.pdf
For an SET induced in a combinational logic circuit to result in a soft error, three conditions have to be satisfied: (1) an active path must exist between the ...
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https://www.cs.york.ac.uk/rts/partes04/final/11_kim.pdf
For an SET induced in a combinational logic circuit to result in a soft error, three conditions have to be satisfied: (1) an active path must exist between the ...
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91
Bit-error-rate and capacity estimation in wireless networks
https://core.ac.uk/download/pdf/190335787.pdf
our scenario consists of a set of wireless links, each presents the network and transport layer with different error rates, our solution can ...
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https://core.ac.uk/download/pdf/190335787.pdf
our scenario consists of a set of wireless links, each presents the network and transport layer with different error rates, our solution can ...
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92
Error rates of large-scale visual recognition challenge 2010 ...
https://www.statista.com/statistics/808190/worldwide-large-scale-visual-recognition-challenge-error-rates/
In 2015, the winning algorithm became the first to surpass the average human classification error rate of five percent, and by 2017 machine ...
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https://www.statista.com/statistics/808190/worldwide-large-scale-visual-recognition-challenge-error-rates/
In 2015, the winning algorithm became the first to surpass the average human classification error rate of five percent, and by 2017 machine ...
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93
REDUCING ERROR RATE OF DEEP LEARNING USING ...
https://ijicis.journals.ekb.eg/article_19823_68459f00c75d816b0e0a3ec0fa6b533b.pdf
feed forward NNs or SVMs, but a set of machine-learning algorithms. ... Al' Reducing Error Rate Of Deep Learning Using Auto Encoder And Genetic Algorithms.
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https://ijicis.journals.ekb.eg/article_19823_68459f00c75d816b0e0a3ec0fa6b533b.pdf
feed forward NNs or SVMs, but a set of machine-learning algorithms. ... Al' Reducing Error Rate Of Deep Learning Using Auto Encoder And Genetic Algorithms.
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94
Introduction to Quantum Error Correction using Repetition ...
https://qiskit.org/textbook/ch-quantum-hardware/error-correction-repetition-code.html
The process of decoding a particular output string typically requires the algorithm to deduce which set of errors occurred, given the syndrome found in the ...
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https://qiskit.org/textbook/ch-quantum-hardware/error-correction-repetition-code.html
The process of decoding a particular output string typically requires the algorithm to deduce which set of errors occurred, given the syndrome found in the ...
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95
Efficient Bit Error Rate Estimation for High-Speed Link by ...
https://past.date-conference.com/proceedings-archive/2015/pdf/0025.pdf
computer systems, and estimating its bit error rate (BER) is a ... 10-12), directly applying the BMF algorithm in [10] suffers from numerical issues.
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https://past.date-conference.com/proceedings-archive/2015/pdf/0025.pdf
computer systems, and estimating its bit error rate (BER) is a ... 10-12), directly applying the BMF algorithm in [10] suffers from numerical issues.
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96
What is a Zestimate? Zillow's Zestimate Accuracy | Zillow
https://www.zillow.com/z/zestimate/
› zestimate
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https://www.zillow.com/z/zestimate/
› zestimate
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97
State Based Algorithm to Minimize Mean Squared Error - MyScien...
https://www.mysciencework.com/patent/show/state-based-algorithm-minimize-mean-squared-error-US7702053B2
The dithering algorithm may include a state machine to alter the rate of ... a system and method for reducing error in data signals by controlling a set of ...
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https://www.mysciencework.com/patent/show/state-based-algorithm-minimize-mean-squared-error-US7702053B2
The dithering algorithm may include a state machine to alter the rate of ... a system and method for reducing error in data signals by controlling a set of ...
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98
How Accurate are Facial Recognition Systems
https://www.csis.org/blogs/technology-policy-blog/how-accurate-are-facial-recognition-systems-%E2%80%93-and-why-does-it-matter
[5] Average change in error rate for six indicative mid-tier algorithms selected by Grother et al. was 9.24x for identification mode, FPIR=0.001 ...
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https://www.csis.org/blogs/technology-policy-blog/how-accurate-are-facial-recognition-systems-%E2%80%93-and-why-does-it-matter
[5] Average change in error rate for six indicative mid-tier algorithms selected by Grother et al. was 9.24x for identification mode, FPIR=0.001 ...
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