171 search results - page 22 / 35 » Factorized Asymptotic Bayesian Inference for Mixture Modelin... |
JMLR
2010
13 years 3 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
AAAI
2008
13 years 11 months ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
BMCBI
2008
13 years 8 months ago
2008
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
ICA
2010
Springer
13 years 9 months ago
2010
Springer
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
NIPS
2004
13 years 10 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...