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Support vector machine - Wikipedia, the free encyclopedia
Support vector machines (SVMs) are a set of related supervised learning methods which analyze data and recognize patterns, used for statistical classification and regression ...

SVM - Support Vector Machines
SVM, support vector machines, SVMC, support vector machines classification, SVMR, support vector machines regression, kernel, machine learning, pattern recognition ...

Support Vector Machines - The Book
An introductory book to the field of Support Vector Machines, a novel machine learning algorithm.

Support Vector Machines
Support Vector Machines Tutorial Slides by Andrew Moore. We review the idea of the margin of a classifier, and why that may be a good criterion for measuring a classifier's ...

LIBSVM -- A Library for Support Vector Machines
An integrated and easy-to-use tool for support vector classification and regression

Support Vector Machines
Support Vector Machines (SVMs)

Support Vector Machines
Support Vector Machines. As with Naive Bayes, Support Vector Machines (or SVMs in short) can be used to solve the task of assigning objects to classes.

Kernel-Machines.Org — Kernel Machines
A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing ...

support-vector-machines.com
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Support Vector Machines
Support Vector Machines - This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications.