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Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.]



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Titolo: Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.] Visualizza cluster
Pubblicazione: Amsterdam ; ; Washington, DC, : IOS Press
Tokyo, : Ohmsha, c2003
Descrizione fisica: 1 online resource (438 p.)
Disciplina: 006.3/1
Soggetto topico: Computational learning theory
Machine learning - Mathematical models
Soggetto genere / forma: Electronic books.
Altri autori: SuykensJohan A. K  
Note generali: "Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--T.p. verso.
"Published in cooperation with NATO Scientific Affairs Division."
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: 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
9 Extension of the ν-SVM Range for Classification10 Kernels Methods for Text Processing; 11 An Optimization Perspective on Kernel Partial Least Squares Regression; 12 Multiclass Learning with Output Codes; 13 Bayesian Regression and Classification; 14 Bayesian Field Theory: from Likelihood Fields to Hyperfields; 15 Bayesian Smoothing and Information Geometry; 16 Nonparametric Prediction; 17 Recent Advances in Statistical Learning Theory; 18 Neural Networks in Measurement Systems (an engineering view); List of participants; Subject Index; Author Index
Sommario/riassunto: This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
Titolo autorizzato: Advances in learning theory  Visualizza cluster
ISBN: 1-280-50590-7
9786610505906
1-4175-1139-7
600-00-0332-3
1-60129-401-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910449823103321
Lo trovi qui: Univ. Federico II
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Serie: NATO science series. : Series III, . -Computer and systems sciences ; ; v. 190.