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Parameter Selection for Support Vector Machines

Staelin, Carl

HPL-2002-354R1

Keyword(s): Support Vector Machines (SVM);Design of Experiments (DOE); meta-parameter selection

Abstract: We present an algorithm for selecting support vector machine (SVM) meta-parameter values which is based on ideas from design of experiments (DOE) and demonstrate that it is robust and works effectively and efficiently on a variety of problems.

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