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- W45133090 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2010 SIAM International Conference on Data Mining (SDM)Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support ClassShin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, and Hiroshi NakagawaShin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, and Hiroshi Nakagawapp.303 - 314Chapter DOI:https://doi.org/10.1137/1.9781611972801.27PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current training instance is correctly classified. While the PA framework allows integration with different loss functions, it is yet to be combined with a multiclass loss function that penalizes every class with a score higher than the true class. We call the method of training the classifier with this loss function the Support Class Passive Aggressive Algorithm. In order to obtain a weight update formula, we solve a quadratic optimization problem by using multiple constraints and arrive at a closed-form solution. This lets us obtain a simple but effective algorithm that updates the classifier against multiple classes for which an instance is likely to be mistaken. We call them the support classes. Experiments demonstrated that our method improves the traditional PA algorithms. Previous chapter Next chapter RelatedDetails Published:2010ISBN:978-0-89871-703-7eISBN:978-1-61197-280-1 https://doi.org/10.1137/1.9781611972801Book Series Name:ProceedingsBook Code:PR136Book Pages:1-953" @default.
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- W45133090 title "Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class" @default.
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