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Studies in Fuzziness and Soft Computing

Innovations in Machine Learning

Theory and Applications

Editors: Holmes, Dawn E. (Ed.)

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  • ISBN 978-3-540-33486-6
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  • ISBN 978-3-642-06788-4
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About this book

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained.

Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • A Bayesian Approach to Causal Discovery

    Pages 1-28

    Heckerman, David (et al.)

  • A Tutorial on Learning Causal Influence

    Pages 29-71

    Neapolitan, Richard E. (et al.)

  • Learning Based Programming

    Pages 73-95

    Roth, Dan

  • N-1 Experiments Suffice to Determine the Causal Relations Among N Variables

    Pages 97-112

    Eberhardt, Frederick (et al.)

  • Support Vector Inductive Logic Programming

    Pages 113-135

    Muggleton, S. H. (et al.)

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-540-33486-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-3-540-30609-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-3-642-06788-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Innovations in Machine Learning
Book Subtitle
Theory and Applications
Editors
  • Dawn E. Holmes
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
194
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-33486-6
DOI
10.1007/3-540-33486-6
Hardcover ISBN
978-3-540-30609-2
Softcover ISBN
978-3-642-06788-4
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XVI, 276
Topics