Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 872)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
- AII: International Workshop on Analogical and Inductive Inference
- ALT: International Conference on Algorithmic Learning Theory
Conference proceedings info: AII 1994, ALT 1994.
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Table of contents (45 papers)
Other volumes
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Algorithmic Learning Theory
Keywords
About this book
The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.
Bibliographic Information
Book Title: Algorithmic Learning Theory
Book Subtitle: 4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings
Editors: Setsuo Arikawa, Klaus P. Jantke
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-58520-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1994
Softcover ISBN: 978-3-540-58520-6Published: 28 September 1994
eBook ISBN: 978-3-540-49030-2Published: 01 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 581
Topics: Theory of Computation, Artificial Intelligence, Mathematical Logic and Formal Languages