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Conference NATO Advanced Study Institute on Learning Theory and Practice (2002 : Louvain, Belgium)

Title Advances in learning theory : methods, models, and applications / edited by Johan Suykens [and others].

Publication Info. Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, [2003]
©2003

Item Status

Description 1 online resource (xxi, 415 pages) : illustrations.
Physical Medium polychrome
Description text file
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."
Bibliography Includes bibliographical references and indexes.
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.
Access Use copy Restrictions unspecified MiAaHDL
Reproduction Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2011. MiAaHDL
System Details 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
Processing Action digitized 2011 HathiTrust Digital Library committed to preserve MiAaHDL
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Computational learning theory -- Congresses.
Computational learning theory.
Machine learning -- Mathematical models -- Congresses.
Machine learning -- Mathematical models.
Machine learning.
Genre/Form Electronic books.
Electronic books -- Conference proceedings.
Conference papers and proceedings.
Conference papers and proceedings.
Added Author Suykens, Johan A. K.
Other Form: 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 (DLC) 2003103695 (OCoLC)53136779
ISBN 1586033417
9781586033415
427490587X (Ohmsha)
9784274905872 (Ohmsha)
1417511397 (electronic book)
9781417511396 (electronic book)
1601294018
9781601294012