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Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings (Lecture Notes in Computer Science, 4005) by Hans Ulrich Simon; Gábor Lugosi is a computer science book available to read on EtoBox.
What is Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings (Lecture Notes in Computer Science, 4005) about?
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.
Who reads Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings (Lecture Notes in Computer Science, 4005)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Hans Ulrich Simon; Gábor Lugosi
- Publisher
- Springer Spektrum. in Springer-Verlag GmbH
- Published
- 2006
- Language
- EN
- ISBN
- 9783540352969
- Category
- computer science
- Subjects
- Science, Mathematics, Programming
- Updated
- 2026-03-25
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