Algorithmic Learning Theory
Download or Read eBook Algorithmic Learning Theory PDF written by Marcus Hutter and published by Springer Science & Business Media. This book was released on 2007-09-17 with total page 415 pages. Available in PDF, EPUB and Kindle.
| Author | : Marcus Hutter |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2007-09-17 |
| ISBN-10 | : 9783540752240 |
| ISBN-13 | : 3540752242 |
| Rating | : 4/5 (40 Downloads) |
Book Synopsis Algorithmic Learning Theory by : Marcus Hutter
Book excerpt: This book constitutes the refereed proceedings of the 18th International Conference on Algorithmic Learning Theory, ALT 2007, held in Sendai, Japan, October 1-4, 2007, co-located with the 10th International Conference on Discovery Science, DS 2007. The 25 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 50 submissions. They are dedicated to the theoretical foundations of machine learning.
