Lecture Notes in Artificial Intelligence

Algorithmic Learning Theory

19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings

Editors: Freund, Y., Györfi, L., Turán, G., Zeugmann, Th. (Eds.)

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eBook $79.99
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  • ISBN 978-3-540-87987-9
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About this book

This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008.

The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.

Table of contents (8 chapters)

  • On Iterative Algorithms with an Information Geometry Background

    Csiszár, Imre

    Pages 1-1

  • Visual Analytics: Combining Automated Discovery with Interactive Visualizations

    Keim, Daniel A. (et al.)

    Pages 2-2

  • Some Mathematics behind Graph Property Testing

    Lovász, László

    Pages 3-3

  • Finding Total and Partial Orders from Data for Seriation

    Mannila, Heikki

    Pages 4-4

  • Computational Models of Neural Representations in the Human Brain

    Mitchell, Tom M.

    Pages 5-6

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-540-87987-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-540-87986-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Algorithmic Learning Theory
Book Subtitle
19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings
Editors
  • Yoav Freund
  • László Györfi
  • György Turán
  • Thomas Zeugmann
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
5254
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-87987-9
DOI
10.1007/978-3-540-87987-9
Softcover ISBN
978-3-540-87986-2
Edition Number
1
Number of Pages
XIII, 467
Topics