This book constitutes the refereed proceedings of the 17th
International Conference on Algorithmic Learning Theory, ALT 2006,
held in Barcelona, Spain in October 2006, colocated with the 9th
International Conference on Discovery Science, DS 2006.
The 24 revised full papers presented together with the abstracts
of five invited papers were carefully reviewed and selected from 53
submissions. The papers are dedicated to the theoretical
foundations of machine learning.
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