1355 search results - page 58 / 271 » Bayesian networks |
143
click to vote
AUSAI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
149
click to vote
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
155
click to vote
CEC
2010
IEEE
15 years 19 days ago
2010
IEEE
The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genet...
147
click to vote
NIPS
2008
15 years 5 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
121
click to vote
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...