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.
General
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