Description |
1 online resource (xxi, 415 pages) : illustrations |
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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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 |
Notes |
"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 |
Notes |
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 |
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Print version record |
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digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL |
Subject |
Computational learning theory -- Congresses
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Machine learning -- Mathematical models -- Congresses
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COMPUTERS -- Enterprise Applications -- Business Intelligence Tools.
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COMPUTERS -- Intelligence (AI) & Semantics.
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Computational learning theory
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Machine learning -- Mathematical models
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Genre/Form |
Conference papers and proceedings
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Form |
Electronic book
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Author |
Suykens, Johan A. K
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ISBN |
1586033417 |
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9781586033415 |
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427490587X |
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9784274905872 |
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1417511397 |
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9781417511396 |
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1601294018 |
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9781601294012 |
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