Parameter Selection Problems in Support Vector Machine

Limei Yan

doi:10.1109/csie.2009.103

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JOURNAL ARTICLE

Parameter Selection Problems in Support Vector Machine

Limei Yan

Year: 2009 Vol: 118 Pages: 351-355

DOI: 10.1109/csie.2009.103

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Abstract

In this paper, we present a new SVM model to calculate the optimal value of cost parameter C for particular problems of linearity non-separability of data. A lower bound, positive number, C ₀ is required to provide for avoiding choosing a candidate set of C. Numerical experiments show that this model for choice of is suitable for solving SVM problems.

Keywords:

Support vector machine Selection (genetic algorithm) Set (abstract data type) Value (mathematics) Linearity Computer science Data set Artificial intelligence Machine learning Mathematical optimization Mathematics Data mining Engineering

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Parameter Selection Problems in Support Vector Machine

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