Algorithmic Learning Theory

Algorithmic Learning Theory

  • Peter Auer
  • Alexander Clark
  • Thomas Zeugmann
  • Sandra Zilles
Publisher:SpringerISBN 13: 9783319116624ISBN 10: 3319116622

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Know about the book -

Algorithmic Learning Theory is written by Peter Auer and published by Springer. It's available with International Standard Book Number or ISBN identification 3319116622 (ISBN 10) and 9783319116624 (ISBN 13).

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.