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UAI
2004
13 years 10 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
ICASSP
2007
IEEE
14 years 3 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
ICPR
2008
IEEE
14 years 9 months ago
A phone-viseme dynamic Bayesian network for audio-visual automatic speech recognition
This work extends and improves a recently introduced (Dec. 2007) dynamic Bayesian network (DBN) based audio-visual automatic speech recognition (AVASR) system. That system models ...
Louis H. Terry, Aggelos K. Katsaggelos
IJCAI
2003
13 years 10 months ago
Dynamic Bayesian modeling of the cerebral activity
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Vincent Labatut, Josette Pastor, Serge Ruff
CIDM
2009
IEEE
14 years 3 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...