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Advances in learning theory : methods, models and applications /
This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Washington, DC : Tokyo :
IOS Press ; Ohmsha,
©2003.
|
| Colección: | NATO science series. Computer and systems sciences ;
v. 190. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 111 | 2 | |a NATO Advanced Study Institute on Learning Theory and Practice |d (2002 : |c Louvain, Belgium) | |
| 245 | 1 | 0 | |a Advances in learning theory : |b methods, models and applications / |c edited by Johan Suykens [and others]. |
| 260 | |a Amsterdam ; |a Washington, DC : |b IOS Press ; |a Tokyo : |b Ohmsha, |c ©2003. | ||
| 300 | |a 1 online resource (xxi, 415 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a NATO science series. Series III, Computer and systems sciences, |x 1387-6694 ; |v v. 190 | |
| 500 | |a "Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--Title page verso | ||
| 500 | |a "Published in cooperation with NATO Scientific Affairs Division." | ||
| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |a 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. | |
| 520 | |a This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics. | ||
| 588 | 0 | |a Print version record. | |
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2011. |5 MiAaHDL | ||
| 538 | |a 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. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2011 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
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| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Computational learning theory |v Congresses. | |
| 650 | 0 | |a Machine learning |x Mathematical models |v Congresses. | |
| 650 | 6 | |a Théorie de l'apprentissage informatique |v Congrès. | |
| 650 | 6 | |a Apprentissage automatique |x Modèles mathématiques |v Congrès. | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Computational learning theory |2 fast | |
| 650 | 7 | |a Machine learning |x Mathematical models |2 fast | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 700 | 1 | |a Suykens, Johan A. K. | |
| 758 | |i has work: |a Advances in learning theory (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGGpX8C4b7YdFYGQpJjHmd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a NATO Advanced Study Institute on Learning Theory and Practice (2002 : Louvain, Belgium). |t Advances in learning theory. |d Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, ©2003 |z 1586033417 |z 427490587X |w (DLC) 2003103695 |w (OCoLC)53136779 |
| 830 | 0 | |a NATO science series. |n Series III, |p Computer and systems sciences ; |v v. 190. |x 1387-6694 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=267471 |z Texto completo |
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