769 search results - page 25 / 154 » Bayesian Generalized Kernel Models |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
ATAL
2006
Springer
14 years 2 months ago
2006
Springer
In the context of pre-Bayesian games we analyze resource selection systems with unknown number of players. We prove the existence and uniqueness of a symmetric safety-level equili...
PRL
2008
13 years 10 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
TSMC
2010
13 years 5 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....