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» Modeling Relational Data by the Adjacency Model
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ICML
2007
IEEE
14 years 9 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 2 months ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher
SP
1991
IEEE
14 years 17 days ago
A Novel Decomposition of Multilevel Relations into Single-Level Relations
In this paper we give a new decomposition algorithm that breaks a multilevel relation into single-level relations and a new recovery algorithmwhich reconstructs the original multi...
Sushil Jajodia, Ravi S. Sandhu
ICIP
2008
IEEE
14 years 10 months ago
Photon-limited image denoising by inference on multiscale models
We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
Stamatios Lefkimmiatis, George Papandreou, Petros ...
ARTMED
2006
85views more  ARTMED 2006»
13 years 9 months ago
Using ontologies linked with geometric models to reason about penetrating injuries
Medical assessment of penetrating injuries is a difficult and knowledge-intensive task. Physical examination and computed tomographic (CT) imaging data must be combined with detai...
Daniel L. Rubin, Olivier Dameron, Yasser Bashir, D...