| Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings 2016 Edition Contributor(s): Ortner, Ronald (Editor), Simon, Hans Ulrich (Editor), Zilles, Sandra (Editor) |
|
 |
ISBN: 3319463780 ISBN-13: 9783319463780 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: September 2016 |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | Computer Vision & Pattern Recognition - Computers | Computer Science |
| Dewey: 006.3 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 0.81" H x 6.14" W x 9.21" (1.21 lbs) 371 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |