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J-GLOBAL ID：200902135665202741   Reference number：99A0779861

Online Learning for Support Vector Machine using Necessity Estimation.

データの重要度推定に基づくサポートベクタマシンの逐次学習

Author (2)： OGURA NOBUHIKO (東京工大 精密工研) ,  WATANABE SUMIO (東京工大 精密工研)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 99  Issue： 182(PRMU99 49-63)  Page： 45-52  Publication year： Jul. 16, 1999 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *pattern recognition ,...
Semi thesaurus term： computational complexity ,...

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JST classification (3)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z) ,  Mathematical programmings  (KA03030M)

Reference (7)：

• CORTES, C. Support-Vector Networks. Machine Learning. 1995, 20, 273-297
• BARTLETT, P. L. The Sample Complexity of Pattern Classification with Neural Networks : The Size of the Weights is More Important than the Size of the Network. IEEE Trans. on Information Theory. 1998, 44, 2
• SCHAPIRE, R. E. Boosting the margin : A new explanation for the effectiveness of voting methods. The Annals of Statistics. 1998, 26, 5, 1651-1686
• PONTIL, M. Properties of Support Vector Machines. Neural Computation. 1998, 10, 955-974
• LECUN, Yan. THE MNIST DATABASE of handwritten digits. http://www.research.att.com/~yann/ocr/mnist/

Terms in the title (4)： 重要度 ,  推定 ,  サポートベクタマシン ,  逐次学習