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CISIS
2009
IEEE
15 years 4 months ago
Ontology-Based Generation of Bayesian Networks
Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
Stefan Fenz, A. Min Tjoa, Marcus Hudec
ECTEL
2006
Springer
15 years 1 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
EDM
2010
165views Data Mining» more  EDM 2010»
14 years 11 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy
AI
2007
Springer
14 years 10 months ago
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Søren Holbech Nielsen, Simon Parsons
JCP
2007
150views more  JCP 2007»
14 years 9 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat