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
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NATO science series. Series III, Computer and systems sciences ; v. 190.
1387-6694
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Note |
"Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--Title page verso. |
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"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.
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Computational learning theory. |
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Machine learning -- Mathematical models -- Congresses.
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Machine learning -- Mathematical models. |
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Machine learning. |
Genre/Form |
Electronic books.
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Electronic books -- Conference proceedings.
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Conference papers and proceedings.
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Conference papers and proceedings.
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Added Author |
Suykens, Johan A. K.
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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 |
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9781586033415 |
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427490587X (Ohmsha) |
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9784274905872 (Ohmsha) |
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1417511397 (electronic book) |
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9781417511396 (electronic book) |
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1601294018 |
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9781601294012 |
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