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Machine Learning, Programming - General & Miscellaneous
Algorithmic Learning Theory by Shai Ben David β€” book cover

Algorithmic Learning Theory

by Shai Ben David (Editor), John Case (Editor), Akira Maruoka
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Overview

This book constitutes the refereed proceedings of the 15th International Conference on Algorithmic Learning Theory, ALT 2004, held in Padova, Italy in October 2004.

The 29 revised full papers presented together with 5 invited papers and 3 tutorial summaries were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on inductive inference, PAC learning and boosting, statistical supervised learning, online sequence learning, approximate optimization algorithms, logic based learning, and query and reinforcement learning.

Synopsis

This book constitutes the refereed proceedings of the 15th International Conference on Algorithmic Learning Theory, ALT 2004, held in Padova, Italy in October 2004.

The 29 revised full papers presented together with 5 invited papers and 3 tutorial summaries were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on inductive inference, PAC learning and boosting, statistical supervised learning, online sequence learning, approximate optimization algorithms, logic based learning, and query and reinforcement learning.

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Book Details

Published
January 1, 2008
Publisher
Springer-Verlag New York, LLC
Pages
519
Format
Paperback
ISBN
9783540233565

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