| General Algorithmic Frameworks for Online Problem. | |
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MedLine Citation:
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PMID: 20505788 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We study general algorithmic frameworks for online learning tasks. These include binary classification, regression, multiclass problems and cost-sensitive multiclass classification. The theorems that we present give loss bounds on the behavior of our algorithms which depend on general conditions on the iterative step sizes. |
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Authors:
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Yair Censor; Simeon Reich; Alexander J Zaslavski |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: International journal of pure and applied mathematics : IJPAM Volume: 46 ISSN: 1311-8080 ISO Abbreviation: - Publication Date: 2008 Jan |
Date Detail:
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Created Date: 2010-7-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101520380 Medline TA: Int J Pure Appl Math Country: - |
Other Details:
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Languages: ENG Pagination: 19-36 Citation Subset: - |
Affiliation:
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Department of Mathematics, University of Haifa Mt. Carmel, 31905 Haifa, Israel ( yair@math.haifa.ac.il ). |
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R01 HL070472-08//NHLBI NIH HHS |
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