Support Vector Machines
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.
KeywordsSupport Vector Machine Support Vector Slack Variable Linear Support Vector Machine Sequential Minimal Optimization
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