Muller KR, Tsuda K, Sugiyama M. (2002). Subspace information criterion for non-quadratic regularizers-Model selection for sparse regressors IEEE Trans Neural Networks. 13

See more from authors: Muller KR · Tsuda K · Sugiyama M

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

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]

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.