An Experimental Study on Asymptotic Learning Curves
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概要
- 論文の詳細を見る
Stochastic multi-layer feed-forward networks are trained with back-propagation and the learning curves are compared to previous work by Amari et al. The asymptotic generalization error scales as 1/t as predicted (t is the number of training patterns). For an intermediate range a faster 1/t^2 scaling is observed. This effect can explained by using higher order corrections of the likelihood expansion.
- 一般社団法人電子情報通信学会の論文
- 1995-06-30
著者
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Muller K.-r.
Dept. Of Math. Engineering And Inf. Physics University Of Tokyo:gmd First:beckman Institute Universi
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Finke M.
Institut fur Logik, University of Karlsruhe
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Murata N.
Dept. of Math. Engineering and Inf. Physics, University of Tokyo
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Schulten K.
Beckman Institute, University of Illinois
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Amari S.
Dept. of Math. Engineering and Inf. Physics, University of Tokyo
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Finke M.
Institut Fur Logik University Of Karlsruhe
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Schulten K.
Beckman Institute University Of Illinois