Computational Learning Theory
15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 8-10, 2002. Proceedings (Lecture Notes in Computer Science)
1 edition
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Author
Contributions
- Jyrki Kivinen (Editor) - Contributor
- Robert H. Sloan (Editor) - Contributor
Publication
2002-08-15 - Springer
Language
English
Word Count
99,250 words, Guess
Page Count
397 pages
Physical Format
Paperback
Identifiers
- Internet Archivecomputationallea2002kivi
- ISBN-10354043836X
- ISBN-139783540438366
- Better World Books9783540438366
- Open LibraryOL9532868M
Classifications
- LCCQA75.5-76.95
First Sentence
The agnostic learning model [6] is a generalization of the PAC learning model that does not presume the target function lies within the space of functions (hypotheses) used for learning.
Subjects
Topics
Other Editions
- Computational Learning Theory: 15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 8-10, 2002. Proceedings (Lecture Notes in Computer Science)
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