Weight space structure and internal representations: A direct approach to learning and generalization in multilayer neural networks.
about
Polynomial iterative algorithms for coloring and analyzing random graphs.Coloring random graphs.Generalization and capacity of extensively large two-layered perceptrons.Solving satisfiability problems by fluctuations: The dynamics of stochastic local search algorithmsMultifractal analysis of perceptron learning with errorsMultifractality and percolation in the coupling space of perceptrons
P2860
Weight space structure and internal representations: A direct approach to learning and generalization in multilayer neural networks.
description
1995 nî lūn-bûn
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1995年の論文
@ja
1995年学术文章
@wuu
1995年学术文章
@zh
1995年学术文章
@zh-cn
1995年学术文章
@zh-hans
1995年学术文章
@zh-my
1995年学术文章
@zh-sg
1995年學術文章
@yue
1995年學術文章
@zh-hant
name
Weight space structure and int ...... in multilayer neural networks.
@en
Weight space structure and int ...... in multilayer neural networks.
@nl
type
label
Weight space structure and int ...... in multilayer neural networks.
@en
Weight space structure and int ...... in multilayer neural networks.
@nl
prefLabel
Weight space structure and int ...... in multilayer neural networks.
@en
Weight space structure and int ...... in multilayer neural networks.
@nl
P1476
Weight space structure and int ...... in multilayer neural networks
@en
P2093
Monasson R
P2860
P304
P356
10.1103/PHYSREVLETT.75.2432
P407
P577
1995-09-01T00:00:00Z
P5875
P698
P818
cond-mat/9501082