4 search results - page 1 / 1 » Comparing Hierarchical Markov Networks and Multiply Sectione... |
ISMIS
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Multiply sectioned Bayesian networks (MSBNs) were originally proposed as a modular representation of uncertain knowledge by sectioning a large Bayesian network (BN) into ...
NMR
2004
Springer
13 years 10 months ago
2004
Springer
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
IJON
2010
13 years 3 months ago
2010
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...
NECO
2002
13 years 4 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...