Learning with sample dependent hypothesi
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Qiang Wu; Ding-Xuan Zhou
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Article
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2008
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Elsevier Science
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English
β 695 KB
Many learning algorithms use hypothesis spaces which are trained from samples, but little theoretical work has been devoted to the study of these algorithms. In this paper we show that mathematical analysis for these algorithms is essentially different from that for algorithms with hypothesis spaces