144 search results - page 1 / 29 » Bayesian Gaussian Process Classification with the EM-EP Algo... |
PAMI
2006
13 years 4 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
JMLR
2002
13 years 4 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
BMCBI
2007
13 years 4 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
PAMI
1998
13 years 4 months ago
1998