Bernhard Schlkopf, Alexander J. Smola

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Computers - Computer Science
Bernhard Schlkopf, Alexander J. Smola

Bernhard Schlkopf, Alexander J. Smola

learning & Kernels Support Vector Machines, Regularization, Optimization & Beyond

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หมวดหมู่:

Computers - Computer Science

ปี:

2001

สำนักพิมพ์:

MIT Press

ภาษา:

english

ISBN 10:

0262194759

ISBN 13:

9780262194754

ไฟล์:

PDF, 9.88 MB

IPFS:

,

english, 2001

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คุณอาจสนใจ

Olivier Chapelle, Bernhard SchÃ¶lkopf, Alexander Zien — Semi-Supervised Learning

Bernhard Schlkopf, Alexander J. Smola — Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

it-ebooks — Statistical Learning Theory Lecture Notes (Stanford CS229t)

it-ebooks — Statistical Learning Theory Notes (Stanford CS229T STAT231)

Johan A. K. Suykens — Advances in learning theory: methods, models, and applications

Bernhard Schoelkopf, Alexander J. Smola — Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

AlexJ.SmolaandVishyS.V.N.Vishwanathan — AnIntroductiontoMachineLearning

Suykens J.A.K., Horvath G., Basu S., Micchelli C., Vandewalle J. (eds.) — Advances in Learning Theory. Methods, Models and Applications

Smola A.J., Schoelkopf B. — Tutorial on support vector regression

Li Li — Selected applications of convex optimization Volume 103 = 凸优化应用讲义

Olivier Chapelle, Bernhard Scholkopf, Alexander Zien — Semi-Supervised Learning

Mehryar Mohri; Afshin Rostamizadeh; Ameet Talwalkar — Foundations of Machine Learning

Ralf Herbrich — Learning Kernel Classifiers: Theory and Algorithms

Schoelkopf B., Burges C.J.C., Smola A.J. (eds.) — Advances in Kernel Methods: Support Vector Learning

Smola A., et al. — Advances in large margin classifiers

SchÃ¶lkopf, Bernhard(Author) — Learning with Kernels : Support Vector Machines, Regularization, Optimization and Beyond

Bernhard Schölkopf; Alexander J Smola — Learning with kernels : support vector machines, regularization, optimization, and beyond

Nello Cristianini, John Shawe-Taylor — An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Nello Cristianini, John Shawe-Taylor — An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Johan Suykens, G. Horvath, S. Basu (eds.) — Advances in learning theory : methods, models and applications : proceedings of the NATO Advanced Study Institute

J. Suykens, G. Horvath, S. Basu — Advances in Learning Theory: Methods, Models and Applications

Petros Xanthopoulos; Panos M Pardalos; Theodore B Trafalis; et al — Robust data mining

Christoph H. Lampert — Kernel methods in computer vision

Michael L. Littman (auth.), Bernhard Schölkopf, Manfred K. Warmuth (eds.) — Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003. Proceedings

Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle — Least squares support vector machines

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