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IJON
2010
189views more  IJON 2010»
13 years 6 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
CAV
2009
Springer
134views Hardware» more  CAV 2009»
14 years 8 months ago
Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints
Abstract. Dynamic Pushdown Networks (DPNs) are a model for parallel programs with (recursive) procedures and process creation. The goal of this paper is to develop generic techniqu...
Alexander Wenner, Markus Müller-Olm, Peter La...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 1 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
ICMLA
2007
13 years 9 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
AMAI
2000
Springer
13 years 7 months ago
The logic of events
An event space is a set of instantaneous events that vary both in time and specificity. The concept of an event space provides a foundation for a logical--i.e., modular and open-a...
Glenn Shafer, Peter R. Gillett, Richard B. Scherl