284 search results - page 8 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
ALT
2004
Springer
15 years 6 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
NIPS
2003
14 years 10 months ago
2003
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
156
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UAI
2008
14 years 11 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
131
Voted
ESA
2010
Springer
14 years 10 months ago
2010
Springer
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
119
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AMAI
2008
Springer
14 years 9 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...