The Leading eBooks Store Online 4,231,541 members ⚫ 1,403,841 ebooks

New to eBooks.com?

Learn more

Algorithmic Learning Theory

26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings

Algorithmic Learning Theory by Kamalika Chaudhuri
Buy this eBook
US$ 79.99
(If any tax is payable it will be calculated and shown at checkout.)

This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.

Springer International Publishing; October 2015
405 pages; ISBN 9783319244860
Read online, or download in secure PDF format
Title: Algorithmic Learning Theory
Author: Kamalika Chaudhuri; CLAUDIO GENTILE; Sandra Zilles
 
  • News
  • Contents
No entry found