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Committee
Date Time
Place
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Abstract
Paper #
NC
2007-03-14
11:20
Tokyo
Tamagawa University
On Variable Selection in Decomposition Methods for Support Vector Machines -- Proposal and Experimental Evaluation of a Novel Variable Selection based on Conjugate Gradient Method --
Yusuke Kawazoe
(
Kyushu Univ.
),
Masashi Kuranoshita
(
FUJIFILM
),
Norikazu Takahashi
,
Jun'ichi Takeuchi
(
Kyushu Univ.
)
Learning of a support vector machine (SVM) is formulated as a quadratic
programming (QP) problem. Decomposition method...
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NC2006-139
pp.127-132
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