Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings
Marcus Hutter, Rocco A. Servedio, Eiji Takimoto “Algorithmic Learning Theory:
18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings"
Springer | 2007-10-23 | ISBN: 3540752242 | 403 pages | PDF | 4,5 MB
18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings"
Springer | 2007-10-23 | ISBN: 3540752242 | 403 pages | PDF | 4,5 MB
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, colocated with the 10th International Conference on Discovery Science, DS 2007.
The 25 revised full papers presented together with the abstracts of 5 invited papers were carefully reviewed and selected from 50 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, complexity and learning, reinforcement learning, unsupervised learning and grammatical inference.
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