Lecture Notes in Artificial Intelligence

Algorithmic Learning Theory

27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings

Editors: Ortner, Ronald, Simon, Hans Ulrich, Zilles, Sandra (Eds.)

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About this book

This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering.

Table of contents (24 chapters)

Table of contents (24 chapters)

Buy this book

eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-319-46379-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA in USD
  • ISBN 978-3-319-46378-0
  • 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
27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings
Editors
  • Ronald Ortner
  • Hans Ulrich Simon
  • Sandra Zilles
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
9925
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-46379-7
DOI
10.1007/978-3-319-46379-7
Softcover ISBN
978-3-319-46378-0
Edition Number
1
Number of Pages
XIX, 371
Number of Illustrations
21 b/w illustrations
Topics