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Advances in kernel methods : support vector learning /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©1999.
©1999 |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Advances in kernel methods : |b support vector learning / |c edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©1999. | ||
| 264 | 4 | |c ©1999 | |
| 300 | |a 1 online resource (vii, 376 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 504 | |a Includes bibliographical references (pages 353-371) and index. | ||
| 505 | 0 | |a Preface -- Introduction to support vector learning -- Roadmap -- Three remarks on the support vector method of function estimation / Valdimir Vapnik -- Generalization performance of support vector machines and other pattern classifiers / Peter Bartlett and John Shawe-Taylor -- Bayesian voting schemes and large margin classifiers / Nello Cristianini and John Shawe-Taylor -- Support vector machines, reproducing kernal Hilbert spaces, and randomized GACV / Grace Wahba -- Geometry and invariance in kernel based methods / Christopher J.C. Burgess -- On the annealed VC entropy for margin classifiers : a statistical mechanics study / Manfred Opper -- Entropy numbers, operators and support vector kernels / Robert C. Williamson, Alex J. Smola and Berhard Schölkopf -- Solving the quadratic programming problem arising in support vector classification / Linda Kaufman -- Making large-scale support vector machine learning practical / Thorsten Joachims -- Fast training of support vector machines using sequential minimal optimization / John C. Platt -- Support vector machines for dynamic reconstruction of a chaotic system / David Mattera and Simon Haykin -- Using support vector machines for time series prediction / Klaus-Robert Müller . [and others] -- Pairwise classification and support vector machines / Ulrich Kressel -- Reducing the run-time complexity in support vector machines / Edgar E. Osuna and Federico Girosi -- Support vector regression with ANOVA decomposition kernels / Mark O. Stitson . [and others] -- Support vector density estimation / Jason Weston . [and others] -- Combining support vector and mathematical programming methods for classification / Kristin P. Bennett -- Kernel principal component analysis / Berhard Schölkopf, Alex J. Smola and Klaus-Robert Müller. | |
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Kernel functions. | |
| 650 | 2 | |a Algorithms | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Noyaux (Mathématiques) | |
| 650 | 7 | |a algorithms. |2 aat | |
| 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 Algorithms |2 fast | |
| 650 | 7 | |a Kernel functions |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 1 | 7 | |a Kunstmatige intelligentie. |2 gtt |
| 650 | 1 | 7 | |a Algoritmen. |2 gtt |
| 650 | 1 | 7 | |a Patroonherkenning. |2 gtt |
| 650 | 1 | 7 | |a Functies (wiskunde) |0 (NL-LeOCL)078510333 |2 gtt |
| 650 | 1 | 7 | |a Machine-learning. |2 gtt |
| 655 | 7 | |a Congressen (vorm) |0 (NL-LeOCL)088142469 |2 gtt | |
| 700 | 1 | |a Schölkopf, Bernhard. | |
| 700 | 1 | |a Burges, Christopher J. C. | |
| 700 | 1 | |a Smola, Alexander J. | |
| 776 | 0 | 8 | |i Print version: |t Advances in kernel methods. |d Cambridge, Mass. : MIT Press, ©1999 |z 0262194163 |w (DLC) 98040302 |w (OCoLC)39706952 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=421 |z Texto completo |
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