Vapnik V, Mukherjee S, Chapelle O, Bousquet O. (2002). Choosing multiple parameters for support vector machines Machine Learning. 46

See more from authors: Vapnik V · Mukherjee S · Chapelle O · Bousquet O

References and models cited by this paper
References and models that cite this paper

Baram Y. (2005). Learning by Kernel Polarization Neural Comput. 17

Bo L, Wang L, Jiao L. (2006). Feature scaling for kernel fisher discriminant analysis using leave-one-out cross validation. Neural computation. 18 [PubMed]

Chang MW, Lin CJ. (2005). Leave-One-Out Bounds for Support Vector Regression Model Selection Neural Comput. 17

Chapelle O. (2007). Training a support vector machine in the primal. Neural computation. 19 [PubMed]

Glasmachers T, Igel C. (2005). Gradient-based adaptation of general gaussian kernels. Neural computation. 17 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.