SVM Classifiers – Concepts and Applications to Character Recognition
نویسنده
چکیده
Since the introduction of the concepts by Vladimir, a large and increasing number of researchers have worked on the algorithmic and the theoretical analysis of SVM, merging concepts from disciplines as distant as statistics, functional analysis, optimization, and machine learning. The soft margin classifier was introduced few years later by Cortes and Vapnik [1], and in 1995 the algorithm was extended to the regression case.
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