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Rok: 2007
ISBN: 9783540752240
OKCZID: 110089555
Citace (dle ČSN ISO 690):
HUTTER, Marcus., ed., SERVEDIO, Rocco A., ed. a TAKIMOTO, Eiji., ed. Algorithmic learning theory: 18th International Conference, ALT 2007 : Sendai, Japan, October 1-4, 2007 : proceedings. Berlin: Springer, c2007. xi, 402 s. Lecture notes in computer science. Lecture notes in artificial intelligence, 4754.
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.