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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2007-11-22
11:55		 Fukuoka   On Global Convergence of Decomposition Methods for Support Vector Regression
Jun Guo (Kyushu Univ./JSPS), Norikazu Takahashi (Kyushu Univ.) NLP2007-96		 To solve the large size quadratic programming (QP) problems arising in support vector regression (SVR) efficiently, deco... [more] NLP2007-96
pp.7-12
NLP 2006-05-11
13:20		 Kumamoto Kumamoto Univ. Analysis of Convergence Property of an SMO Algorithm for Support Vector Regression
Jun Guo, Norikazu Takahashi (Kyushu Univ.), Tetsuo Nishi (Waseda Univ.) 		Sequential minimal optimization (SMO) algorithms for support vector regression (SVR) have recently been proposed. Howeve... [more] NLP2006-3
pp.9-14
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