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Advances in large margin classifiers

Author: Alexander J Smola
Publisher: Cambridge, Mass. : MIT Press, ©2000.
Series: Neural information processing series.
Edition/Format:   Print book : English
Database:WorldCat
Summary:

The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the  Read more...

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Genre/Form: Aufsatzsammlung
Document Type: Book
All Authors / Contributors: Alexander J Smola
ISBN: 0262194481 9780262194488
OCLC Number: 43561865
Description: vi, 412 pages : illustrations ; 26 cm.
Contents: 1. Introduction to Large Margin Classifiers. 2. Roadmap --
I. Support Vector Machines. 3. Dynamic Alignment Kernels / Chris Watkins. 4. Natural Regularization from Generative Models / Nuria Oliver, Bernhard Scholkopf and Alexander J. Smola. 5. Probabilities for SV Machines / John C. Platt. 6. Maximal Margin Perceptron / Adam Kowalczyk. 7. Large Margin Rank Boundaries for Ordinal Regression / Ralf Herbrich, Thore Graepel and Klaus Obermayer --
II. Kernel Machines. 8. Generalized Support Vector Machines / Olvi L. Mangasarian. 9. Linear Discriminant and Support Vector Classifiers / Isabelle Guyon and David G. Stork. 10. Regularization Networks and Support Vector Machines / Theodoros Evgeniou, Massimiliano Pontil and Tomaso Poggio.
Series Title: Neural information processing series.
Responsibility: edited by Alexander J. Smola [and others].

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