A graphical model approach for matching partial signatures

2015 ◽  
Author(s):  
Xianzhi Du ◽  
David Doermann ◽  
Wael AbdAlmageed
Keyword(s):  
Graphical Model ◽  
Model Approach

scholarly journals Link Prediction: A Graphical Model Approach

2020 ◽  
Author(s):  
Daniele Alpago ◽  
Mattia Zorzi ◽  
Augusto Ferrante
Keyword(s):  
Link Prediction ◽  
Graphical Model ◽  
Model Approach

scholarly journals A graphical model approach to ATLAS-free mining of MRI images

2014 ◽  
Author(s):  
Chris S. Magnano ◽  
Ameet Soni ◽  
Sriraam Natarajan ◽  
Gautam Kunapuli
Keyword(s):  
Graphical Model ◽  
Model Approach

scholarly journals SourceSet: A graphical model approach to identify primary genes in perturbed biological pathways

2019 ◽  
Vol 15 (10) ◽  
pp. e1007357 ◽  
Author(s):  
Elisa Salviato ◽  
Vera Djordjilović ◽  
Monica Chiogna ◽  
Chiara Romualdi
Keyword(s):  
Graphical Model ◽  
Biological Pathways ◽  
Model Approach

scholarly journals Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13851-13852
Author(s):  
Junkyu Lee
Keyword(s):  
Message Passing ◽  
Graphical Model ◽  
Partial Evaluation ◽  
Influence Diagrams ◽  
Influence Diagram ◽  
Worst Case ◽  
Limited Memory ◽  
Worst Case Complexity ◽  
The Individual ◽  
Model Approach

This paper presents a systematic way of decomposing a limited memory influence diagram (LIMID) to a tree of single-stage decision problems, or submodels and solving it by message passing. The relevance in LIMIDs is formalized by the notion of the partial evaluation of the maximum expected utility, and the graph separation criteria for identifying submodels follow. The submodel decomposition provides a graphical model approach for updating the beliefs and propagating the conditional expected utilities for solving LIMIDs with the worst-case complexity bounded by the maximum treewidth of the individual submodels.

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