7 search results - page 1 / 2 » Inference in hybrid Bayesian networks with mixtures of trunc... |
117
Voted
IJAR
2006
15 years 11 days ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
103
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IJAR
2010
14 years 10 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
100
Voted
ECSQARU
2005
Springer
15 years 5 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
119
Voted
UAI
2001
15 years 1 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
107
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ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...