284 search results - page 12 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
AUSAI
2004
Springer
15 years 2 months ago
2004
Springer
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
83
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
AAAI
2008
14 years 12 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized service...
78
Voted
IDEAL
2000
Springer
15 years 1 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...