926 search results - page 9 / 186 » Outliers and Bayesian Inference |
158
click to vote
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...
PERCOM
2007
ACM
15 years 10 months ago
2007
ACM
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...