Improved Classification Rates under Refined Margin Conditions
Improved Classification Rates under Refined Margin Conditions
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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In this paper we present a simple partitioning based technique to refine the statistical analysis of classification algorithms. The core of our idea is to divide the input space into two parts such that the first part contains a suitable vicinity around the decision boundary, while the second part is sufficiently far away from the decision boundary...
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Improved Classification Rates under Refined Margin Conditions
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TN_cdi_proquest_journals_2071706811
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071706811
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2331-8422