248 search results - page 17 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
ICMCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
FLAIRS
2006
13 years 9 months ago
2006
In this paper we present an algorithm and software for generating arbitrarily large Bayesian Networks by tiling smaller real-world known networks. The algorithm preserves the stru...
UAI
1997
13 years 9 months ago
1997
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Correlated equilibria are a generalization of Nash equilibria that permit agents to act in a correlated manner and can therefore, model learning in games. In this paper we define...
AAAI
2010
13 years 9 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...