## A Hybrid of SVM and SCAD with Group-Specific Tuning Parameters in Identification of Informative Genes and Biological Pathways

- Muhammad Faiz Misman, Weng Howe Chan, Mohd Saberi Mohamad, Safaai Deris
- PAKDD Workshops
- 2013

Highly Influenced

7 Excerpts

@inproceedings{Wahba2000GacvFS, title={Gacv for support vector machines}, author={Grace Wahba and Yuan Yao Lin and Hansong Zhang}, year={2000} }

- Published 2000

We introduce the Generalized Approximate Cross Validation (GACV) for estimating tuning parameter(s) in SVMs. The GACV has as its target the choice of parameters which will minimize the Generalized Comparative Kullback-Leibler Distance (GCKL). The GCKL is seen to be an upper bound on the expected misclassifica-tion rate. Some modest simulation examples suggest how it might work in practice. The GACV is the sum of a term which is the observed (sample) GCKL plus a margin-like quantity. reproducing… CONTINUE READING