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CIDM
2009
IEEE
14 years 28 days 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...
ATAL
2004
Springer
13 years 11 months ago
A Bayes Net Approach to Argumentation
Argumentation-based negotiation approaches have been proposed to present realistic negotiation contexts. This paper presents a novel Bayesian network based argumentation and decis...
Sabyasachi Saha, Sandip Sen
AMAI
2008
Springer
13 years 6 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ROOM
2000
13 years 7 months ago
Statecharts as Protocols for Objects
For the specification of object-oriented systems, usually several models representing different views are developed. The necessary integration of views is often delayed until impl...
Annette Laue, Matthias Liedtke, Daniel Moldt, Ivan...
CVPR
1999
IEEE
14 years 8 months ago
Vision-Based Speaker Detection Using Bayesian Networks
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...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth