Ingo Steinwart, A. Christmann
2008.8.12Wiley Interdisciplinary Reviews-Computational Statistics
tlooto Summary
A new command is introduced, svmachines, which is a thin wrapper for the widely deployed libsvm and can be applied to continuous, binary, and categorical outcomes analogous to Gaussian, logistic, and multinomial regression.
Abstract
Support vector machines (SVMs) are a family of machine learning methods, originally introduced for the problem of classification and later generalized to various other situations. They are based on principles of statistical learning theory and convex optimization, and are currently used in various domains of application, including bioinformatics, text categorization, and computer vision. Copyright © 2009 John Wiley & Sons, Inc.
Citation format
STEINWART, Ingo; CHRISTMANN, A. Support vector machines. Wiley Interdisciplinary Reviews-Computational Statistics, 2008, 16: 917–937.