Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2777)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (60 papers)
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Front Matter
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Target Area: Computational Game Theory
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Kernel Machines
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Poster Session 1
Keywords
- Algorithmic Learning
- Boosting
- Game Theory
- Inductive Inference
- Kernel Methods
- Learning Classifier Systems
- Machine Learning
- Online Learning
- Statistical Learning
- Support Vector Machine
- algorithm
- algorithms
- complexity
- k-Means
- programming
- algorithm analysis and problem complexity
Editors and Affiliations
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MPI for Biological Cybernetics, Tübingen, Germany
Bernhard Schölkopf
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University of California, Santa Cruz
Manfred K. Warmuth
Bibliographic Information
Book Title: Learning Theory and Kernel Machines
Book Subtitle: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings
Editors: Bernhard Schölkopf, Manfred K. Warmuth
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b12006
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-40720-1Published: 11 August 2003
eBook ISBN: 978-3-540-45167-9Published: 11 November 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 754
Topics: Artificial Intelligence, Theory of Computation, Algorithms, Formal Languages and Automata Theory