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Computational Learning Theory An Introduction

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ISBN-10: 0521599229

ISBN-13: 9780521599221

Edition: 1997

Authors: N. Biggs, M. Anthony

List price: $51.99
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Description:

In a relatively self-contained form this book provides essential background information on logic, probability and complexity theory in order to introduce computational learning theory and the applications it has spawned.
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Book details

List price: $51.99
Copyright year: 1997
Publisher: Cambridge University Press
Publication date: 2/27/1997
Binding: Paperback
Pages: 172
Size: 6.69" wide x 9.61" long x 0.35" tall
Weight: 0.836
Language: English

Concepts, hypotheses, learning algorithms
Boolean formulae and representations
Probabilistic learning
Consistent algorithms and learnability
Efficient learning I
Efficient learning II
The VC dimension
Learning and the VC dimension
VC dimension and efficient learning
Linear threshold networks