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CAISE
2008
Springer
13 years 9 months ago
Probabilistic Metamodel Merging
This paper proposes the use Bayesian networks for the automatic merging of metamodels. The proposed Bayesian networks calculate the probability that a merge of two metamodel elemen...
Robert Lagerström, Moustafa Chenine, Pontus J...
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
13 years 11 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
ECCV
2008
Springer
14 years 9 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 2 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
NECO
2002
117views more  NECO 2002»
13 years 7 months ago
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
James M. Coughlan, Alan L. Yuille