This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighted by the use of a SVM classifier both as an essential part of the evaluation function and as a "provider" of useful information for designing effective LS algorithms. The SVM-LS approach is assessed on a set of three well-known data sets and compared with some best algorithms from the literature. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
Hernandez, J. C. H., Duval, B., & Hao, J. K. (2008). SVM-based local search for gene selection and classification of microarray data. Communications in Computer and Information Science, 13, 499–508. https://doi.org/10.1007/978-3-540-70600-7_39
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