Algorithmic Learning Theory
Download or Read eBook Algorithmic Learning Theory PDF written by Osamu Watanabe and published by Springer. This book was released on 2007-03-05 with total page 372 pages. Available in PDF, EPUB and Kindle.
Author | : Osamu Watanabe |
Publisher | : Springer |
Total Pages | : 372 |
Release | : 2007-03-05 |
ISBN-10 | : 9783540467694 |
ISBN-13 | : 3540467696 |
Rating | : 4/5 (94 Downloads) |
Book Synopsis Algorithmic Learning Theory by : Osamu Watanabe
Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Algorithmic Learning Theory, ALT'99, held in Tokyo, Japan, in December 1999. The 26 full papers presented were carefully reviewed and selected from a total of 51 submissions. Also included are three invited papers. The papers are organized in sections on Learning Dimension, Inductive Inference, Inductive Logic Programming, PAC Learning, Mathematical Tools for Learning, Learning Recursive Functions, Query Learning and On-Line Learning.