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PAKDD
2000
ACM
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PAKDD 2000
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Discovery of Relevant Weights by Minimizing Cross-Validation Error
14 years 4 months ago
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www.kecl.ntt.co.jp
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
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