Tipping M. (2001). Sparse Bayesian learning and the relevance vector machine J Mach Learn Res. 1

See more from authors: Tipping M

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

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

Girolami M, Rogers S. (2006). Variational Bayesian multinomial probit regression with gaussian process priors. Neural Comput. 18

Graf ABA, Wichmann FA, Bulthoff HH, Scholkopf B. (2005). Classification of Faces in Man and Machine Neural Comput. 18

Paninski L, Pillow JW, Simoncelli EP. (2004). Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural computation. 16 [PubMed]

Sundararajan S, Shevade S, Keerthi SS. (2007). Fast generalized cross-validation algorithm for sparse model learning. Neural computation. 19 [PubMed]

Thies T, Weber F. (2004). Optimal reduced-set vectors for support vector machines with a quadratic kernel. 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.