Bo L, Wang L, Jiao L. (2007). Recursive Finite Newton Algorithm for Support Vector Regression in the Primal Neural Comput. 19

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

Cohen S, Dror G, Ruppin E. (2007). Feature selection via coalitional game theory. Neural computation. 19 [PubMed]

Eisenthal Y, Dror G, Ruppin E. (2005). Facial Attractiveness: Beauty and the Machine Neural Comput. 18

Glasmachers T, Igel C. (2008). Second-order SMO improves SVM online and active learning. Neural computation. 20 [PubMed]

Gunter L, Zhu J. (2007). Efficient computation and model selection for the support vector regression. Neural computation. 19 [PubMed]

Kao WC, Chung KM, Sun CL, Lin CJ. (2004). Decomposition Methods for Linear Support Vector Machines Neural Comput. 16

Sugiyama M, Kawanabe M, Müller KR. (2004). Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression. Neural computation. 16 [PubMed]