136 search results - page 7 / 28 » Structure Inference of Bayesian Networks from Data: A New Ap... |
CORR
2004
Springer
13 years 7 months ago
2004
Springer
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
BMCBI
2007
13 years 7 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
IJCAI
2007
13 years 9 months ago
2007
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
AAAI
2012
11 years 10 months ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
JMLR
2010
13 years 2 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...