166 search results - page 13 / 34 » Efficient Model Selection for Kernel Logistic Regression |
JMLR
2011
13 years 2 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
CSDA
2008
13 years 7 months ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
ICANNGA
2009
Springer
14 years 1 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...