81 search results - page 2 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
ISIPTA
2005
IEEE
13 years 10 months ago
2005
IEEE
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
UAI
2004
13 years 6 months ago
2004
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
JMLR
2010
12 years 11 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
ICA
2010
Springer
13 years 5 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 ...