210 search results - page 15 / 42 » Inference and Learning in Multi-dimensional Bayesian Network... |
JMLR
2010
13 years 2 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
JMLR
2010
13 years 2 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
UAI
2008
13 years 8 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
HYBRID
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...