Gradient descent learning in perceptrons: A review of its possibilities.
about
Optimal pruning in neural networks.Cavity approach to noisy learning in nonlinear perceptrons.Variational studies and replica symmetry breaking in the generalization problem of the binary perceptronMany-body approach to the dynamics of batch learningLearning strategies for the maximally stable diluted binary perceptronLearning algorithm that gives the Bayes generalization limit for perceptrons.Learning by examples from a nonuniform distribution.Unsupervised learning by examples: On-line versus off-line.
P2860
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P2860
Gradient descent learning in perceptrons: A review of its possibilities.
description
1995 nî lūn-bûn
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1995年の論文
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1995年学术文章
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1995年学术文章
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1995年学术文章
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1995年学术文章
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1995年学术文章
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1995年学术文章
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1995年學術文章
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1995年學術文章
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name
Gradient descent learning in perceptrons: A review of its possibilities.
@en
Gradient descent learning in perceptrons: A review of its possibilities.
@nl
type
label
Gradient descent learning in perceptrons: A review of its possibilities.
@en
Gradient descent learning in perceptrons: A review of its possibilities.
@nl
prefLabel
Gradient descent learning in perceptrons: A review of its possibilities.
@en
Gradient descent learning in perceptrons: A review of its possibilities.
@nl
P2093
P2860
P356
P1433
P1476
Gradient descent learning in perceptrons: A review of its possibilities.
@en
P2093
Schietse J
Van den Broeck C
P2860
P304
P356
10.1103/PHYSREVE.52.1958
P407
P577
1995-08-01T00:00:00Z