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Lecture Notes in Artificial Intelligence

Algorithmic Learning Theory

23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings

Editors: Bshouty, N.H., Stoltz, G., Vayatis, N., Zeugmann, Th. (Eds.)

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About this book

This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.

Table of contents (9 chapters)

  • Editors’ Introduction

    Bshouty, Nader H. (et al.)

    Pages 1-11

  • Declarative Modeling for Machine Learning and Data Mining

    Raedt, Luc

    Pages 12-12

  • Learnability beyond Uniform Convergence

    Shalev-Shwartz, Shai

    Pages 13-16

  • Some Rates of Convergence for the Selected Lasso Estimator

    Massart, Pascal (et al.)

    Pages 17-33

  • Recent Developments in Pattern Mining

    Calders, Toon

    Pages 34-34

Buy this book

eBook $64.99
price for USA (gross)
  • ISBN 978-3-642-34106-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $83.00
price for USA
  • ISBN 978-3-642-34105-2
  • 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
23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Editors
  • Nader H. Bshouty
  • Gilles Stoltz
  • Nicolas Vayatis
  • Thomas Zeugmann
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
7568
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-34106-9
DOI
10.1007/978-3-642-34106-9
Softcover ISBN
978-3-642-34105-2
Edition Number
1
Number of Pages
XII, 381
Number of Illustrations and Tables
23 b/w illustrations
Topics