Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007. Proceedings
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Authors
Hutter, Marcus
Servedio, Rocco A.
Takimoto, Eiji
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Volume Title
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Springer Verlag
Abstract
The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education. This volume (LNAI 4754) contains research papers presented at the 18th International Conference on Algorithmic Learning Theory (ALT 2007), which was held in Sendai (Japan) during October 1-4, 2007. The main objective of the conference was to provide an interdisciplinary forum for high-quality talks with a strong theoretical background and scientific interchange in areas such as query models, online learning, inductive inference, boosting, kernel methods, complexity and learning, reinforcement learning, unsupervised learning, grammatical inference, and algorithmic forecasting. The conference was co-located with the 10th International Conference on Discovery Science (DS 2007). The volume includes 25 technical contributions that were selected from 50 submissions, and five invited talks presented to the audience of ALT and DS. Longer versions of the DS invited papers are available in the proceedings of DS 2007.