Editors:
- Up-to-date results
- Fast track conference proceedings
- State-of-the-art report
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7568)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ALT: International Conference on Algorithmic Learning Theory
Conference proceedings info: ALT 2012.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (29 papers)
-
Front Matter
-
Editors’ Introduction
-
Regular Contributions
-
Teaching and PAC-Learning
-
Relations between Models and Data
About this book
Editors and Affiliations
-
Department of Computer Science, Technion, Haifa, Israel
Nader H. Bshouty
-
Ecolre Normale Sup’erieure, CNRS, INRIA, Paris, France
Gilles Stoltz
-
Ecole Normale Supérieure de Cachan, Cachan cedex, France
Nicolas Vayatis
-
Division of Computer Science, Hokkaido University, Sapporo, Japan
Thomas Zeugmann
Bibliographic Information
Book Title: Algorithmic Learning Theory
Book Subtitle: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Editors: Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-34106-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-34105-2Published: 15 September 2012
eBook ISBN: 978-3-642-34106-9Published: 01 October 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 381
Number of Illustrations: 23 b/w illustrations
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Logics and Meanings of Programs, Pattern Recognition