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» Discriminative parameter learning for Bayesian networks
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IJAR
2010
97views more  IJAR 2010»
14 years 8 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 9 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
93
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ENGL
2007
102views more  ENGL 2007»
14 years 9 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 4 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 2 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