Neural Network Learning
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29

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Published By Cambridge University Press

9780521573535, 9780521118620, 9780511624216

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

General Lower Bounds on Sample Complexity

Neural Network Learning ◽

10.1017/cbo9780511624216.006 ◽

1999 ◽

pp. 59-73

Keyword(s):

Lower Bounds ◽

Sample Complexity

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The Boolean Perceptron

Neural Network Learning ◽

10.1017/cbo9780511624216.025 ◽

1999 ◽

pp. 316-330

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The VC-Dimension of Linear Threshold Networks

Neural Network Learning ◽

10.1017/cbo9780511624216.007 ◽

1999 ◽

pp. 74-85

Keyword(s):

Vc Dimension ◽

Linear Threshold

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Bounding Covering Numbers

Neural Network Learning ◽

10.1017/cbo9780511624216.019 ◽

1999 ◽

pp. 247-257

Keyword(s):

Covering Numbers

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The Sample Complexity of Classification Learning

Neural Network Learning ◽

10.1017/cbo9780511624216.014 ◽

1999 ◽

pp. 184-192

Keyword(s):

Sample Complexity ◽

Classification Learning

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Hardness Results for Feed-Forward Networks

Neural Network Learning ◽

10.1017/cbo9780511624216.026 ◽

1999 ◽

pp. 331-341

Keyword(s):

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The Growth Function and VC-Dimension

Neural Network Learning ◽

10.1017/cbo9780511624216.004 ◽

1999 ◽

pp. 29-41

Keyword(s):

Growth Function ◽

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Uniform Convergence Results for Real Function Classes

Neural Network Learning ◽

10.1017/cbo9780511624216.018 ◽

1999 ◽

pp. 241-246

Keyword(s):

Uniform Convergence ◽

Real Function ◽

Function Classes ◽

Convergence Results

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Vapnik-Chervonenkis Dimension Bounds for Neural Networks

Neural Network Learning ◽

10.1017/cbo9780511624216.009 ◽

1999 ◽

pp. 108-130

Keyword(s):

Neural Networks

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The Pseudo-Dimension and Fat-Shattering Dimension

Neural Network Learning ◽

10.1017/cbo9780511624216.012 ◽

1999 ◽

pp. 151-164

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