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Detailed results for random forests (RF) on raw values and interval features to classify time series

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The error rates (out-of-bag and test error rates) for 10 replications of two random forest (RF) training strategies: RF (raw) applied directly to time series values, and RF (feature) applied directly to the interval features extracted from the whole time series.





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2013-02-12 08:41:31
32.36 KB
596
Detailed results for bag-of-words (BoW) strategies to classify time series

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The selected parameters and corresponding error rates for random forest (RF) and  support vector machine (SVM) trained on bag-of-words (BoW) representation are provided.





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2013-02-12 08:25:54
108.65 KB
755
Summary of the results in TSBF paper

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This spreadsheet summarizes all the results in TSBF paper submitted to IEEE PAMI. Click on the download link for detailed explanation about the contents. Summarized version of the results are also available at Error rates on UCR time series datasets. The details of the results for alternative approaches considered in the paper are summarized in seperate files in this folder.





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2013-02-12 07:52:25
185.77 KB
844

Copyright © 2014 mustafa gokce baydogan

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