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Lecture Notes in Computer Science

Machine Learning: From Theory to Applications

Cooperative Research at Siemens and MIT

Editors: Hanson, Stephen J., Remmele, Werner, Rivest, Ronald L. (Eds.)

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eBook $64.99
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  • ISBN 978-3-540-47568-2
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Softcover $84.99
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  • ISBN 978-3-540-56483-6
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About this book

This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.

Table of contents (17 chapters)

  • Strategic directions in machine learning

    Hanson, Stephen José (et al.)

    Pages 1-4

  • Introduction

    Rivest, Ronald L.

    Pages 5-7

  • Training a 3-node neural network is NP-complete

    Blum, Avrim L. (et al.)

    Pages 9-28

  • Cryptographic limitations on learning Boolean formulae and finite automata

    Kearns, Michael J. (et al.)

    Pages 29-49

  • Inference of finite automata using homing sequences

    Rivest, Ronald L. (et al.)

    Pages 51-73

Buy this book

eBook $64.99
price for USA in USD (gross)
  • ISBN 978-3-540-47568-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.99
price for USA in USD
  • ISBN 978-3-540-56483-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning: From Theory to Applications
Book Subtitle
Cooperative Research at Siemens and MIT
Editors
  • Stephen J. Hanson
  • Werner Remmele
  • Ronald L. Rivest
Series Title
Lecture Notes in Computer Science
Series Volume
661
Copyright
1993
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-47568-2
DOI
10.1007/3-540-56483-7
Softcover ISBN
978-3-540-56483-6
Series ISSN
0302-9743
Edition Number
1
Number of Pages
VIII, 276
Topics