This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008.
The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
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This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008.
The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
Imprint | Springer |
Country of origin | United States |
Release date | May 2009 |
Availability | Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available. |
First published | May 2009 |
Editors | Yoav Freund, L. Szl Gy Rfi, Gy Rgy Tur N. |
Dimensions | 156 x 234 x 25mm (L x W x T) |
Format | Paperback - Trade |
Pages | 484 |
ISBN-13 | 978-3-540-88097-4 |
Barcode | 9783540880974 |
Categories | |
LSN | 3-540-88097-6 |