An Information-Theoretic Approach to Neural Computing

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An Information-Theoretic Approach to Neural Computing

An Information-Theoretic Approach to Neural Computing

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An Information-Theoretic Approach to Neural Computing

  • Brand: Unbranded

139,00 €

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+ 6,49 € Shipping

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Sold by:

139,00 €

In stock
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14-Day Returns Policy

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Description

An Information-Theoretic Approach to Neural Computing

1 Introduction. - 2 Preliminaries of Information Theory and Neural Networks. - 2. 1 Elements of Information Theory. - 2. 2 Elements of the Theory of Neural Networks. - I: Unsupervised Learning. - 3 Linear Feature Extraction: Infomax Principle. - 4 Independent Component Analysis: General Formulation and Linear Case. - 5 Nonlinear Feature Extraction: Boolean Stochastic Networks. - 6 Nonlinear Feature Extraction: Deterministic Neural Networks. - II: Supervised Learning. - 7 Supervised Learning and Statistical Estimation. - 8 Statistical Physics Theory of Supervised Learning and Generalization. - 9 Composite Networks. - 10 Information Theory Based Regularizing Methods. - References. Language: English
  • Brand: Unbranded
  • Category: Computing & Internet
  • Artist: Gustavo Deco
  • Format: Paperback
  • Language: English
  • Publication Date: 2011/09/17
  • Publisher / Label: Springer
  • Number of Pages: 262
  • Fruugo ID: 337891383-741550685
  • ISBN: 9781461284697

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