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» Discriminative parameter learning for Bayesian networks
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IJAR
2010
97views more  IJAR 2010»
14 years 10 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
BMCBI
2010
229views more  BMCBI 2010»
14 years 12 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ENGL
2007
102views more  ENGL 2007»
14 years 11 months ago
Decision Theoretic Agent Design for Personal Rapid Transit Systems
—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...
Iheanyi C. Umez-Eronini, Ferat Sahin
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 6 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
ITNG
2010
IEEE
15 years 4 months ago
BAUT: A Bayesian Driven Tutoring System
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) in...
Song Tan, Kai Qian, Xiang Fu, Prabir Bhattacharya