Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1501)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ALT 1998.
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About this book
This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ¨aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.
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Table of contents (30 papers)
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Front Matter
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Editors’ Introduction
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Inductive Logic Programming and Data Mining
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Learning via Queries
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Prediction Algorithns
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Learning Formal Languages
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Algorithmic Learning Theory
Editors and Affiliations
Bibliographic Information
Book Title: Algorithmic Learning Theory
Book Subtitle: 9th International Conference, ALT’98, Otzenhausen, Germany, October 8–10, 1998 Proceedings
Editors: Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas Zeugmann
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-49730-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1998
Softcover ISBN: 978-3-540-65013-3Published: 23 September 1998
eBook ISBN: 978-3-540-49730-1Published: 29 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 444
Number of Illustrations: 1 b/w illustrations
Topics: Theory of Computation, Artificial Intelligence, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity