Learning Theory and Kernel Machines

Learning Theory and Kernel Machines
Author :
Publisher : Springer
Total Pages : 761
Release :
ISBN-10 : 9783540451679
ISBN-13 : 3540451676
Rating : 4/5 (676 Downloads)

Book Synopsis Learning Theory and Kernel Machines by : Bernhard Schölkopf

Download or read book Learning Theory and Kernel Machines written by Bernhard Schölkopf and published by Springer. This book was released on 2003-11-11 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003. The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.


Learning Theory and Kernel Machines Related Books

Learning Theory and Kernel Machines
Language: en
Pages: 761
Authors: Bernhard Schölkopf
Categories: Computers
Type: BOOK - Published: 2003-11-11 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Ker
Learning with Kernels
Language: en
Pages: 645
Authors: Bernhard Scholkopf
Categories: Computers
Type: BOOK - Published: 2018-06-05 - Publisher: MIT Press

DOWNLOAD EBOOK

A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on resul
Kernel Methods and Machine Learning
Language: en
Pages: 617
Authors: S. Y. Kung
Categories: Computers
Type: BOOK - Published: 2014-04-17 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for
Learning Kernel Classifiers
Language: en
Pages: 402
Authors: Ralf Herbrich
Categories: Computers
Type: BOOK - Published: 2001-12-07 - Publisher: MIT Press

DOWNLOAD EBOOK

An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field o
Learning Theory and Kernel Machines
Language: en
Pages: 761
Authors: Bernhard Schoelkopf
Categories: Computers
Type: BOOK - Published: 2003-08-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Ker