Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1160)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ALT 1996.
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Table of contents (28 papers)
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Algorithmic Learning Theory
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About this book
The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.
Bibliographic Information
Book Title: Algorithmic Learning Theory
Book Subtitle: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings
Editors: Setsuo Arikawa, Arun K. Sharma
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-61863-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-61863-8Published: 09 October 1996
eBook ISBN: 978-3-540-70719-6Published: 14 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 337
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages