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Title Advances in learning theory : methods, models and applications / edited by Johan Suykens [and others].
Imprint Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, ©2003.

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Description 1 online resource (xxi, 415 pages) : illustrations
Series NATO science series. Series III, Computer and systems sciences, 1387-6694 ; v. 190
NATO science series. Series III, Computer and systems sciences ; v. 190. 1387-6694
Note "Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--Title page verso.
"Published in cooperation with NATO Scientific Affairs Division."
Bibliog. Includes bibliographical references and indexes.
Note Use copy Restrictions unspecified star MiAaHDL
Available only to authorized UTEP users.
Reproduction Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011. MiAaHDL
Note Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
Print version record.
digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL
Subject Computational learning theory -- Congresses.
Machine learning -- Mathematical models -- Congresses.
Genre Electronic books -- Conference proceedings.
Electronic books.
Conference papers and proceedings.
Contents Cover; Title page; Preface; Organizing committee; List of chapter contributors; Contents; 1 An Overview of Statistical Learning Theory; 2 Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem; 3 Cucker Smale Learning Theory in Besov Spaces; 4 High-dimensional Approximation by Neural Networks; 5 Functional Learning through Kernels; 6 Leave-one-out Error and Stability of Learning Algorithms with Applications; 7 Regularized Least-Squares Classification; 8 Support Vector Machines: Least Squares Approaches and Extensions.
Summary This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
Other Author Suykens, Johan A. K.
Other Title Print version: NATO Advanced Study Institute on Learning Theory and Practice (2002 : Louvain, Belgium). Advances in learning theory. Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, ©2003 1586033417 427490587X