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Part of book or chapter of book . 2013 . Peer-reviewed

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Support Vector Machines

Name: Support Vector Machines
Creator: Alan Julian Izenman
Keywords: 4. Education

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2013Publisher:Springer New York

Authors: Alan Julian Izenman;

doi: 10.1007/978-0-387-78189-1_11

Support Vector Machines

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Abstract

Fisher’s linear discriminant function (LDF) and related classifiers for binary and multiclass learning problems have performed well for many years and for many data sets. Recently, a brand-new learning methodology, support vector machines (SVMs), has emerged (Boser, Guyon, and Vapnik, 1992), which has matched the performance of the LDF and, in many instances, has proved to be superior to it.

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Temple University
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