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EKAW
2004
Springer
13 years 10 months ago
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks
Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
Eveline M. Helsper, Linda C. van der Gaag, Floris ...
ECAI
2004
Springer
13 years 8 months ago
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
Linda C. van der Gaag, Eveline M. Helsper
IPMU
2010
Springer
13 years 9 months ago
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks
Abstract. Credal sets are closed convex sets of probability mass functions. The lower probabilities specified by a credal set for each element of the power set can be used as cons...
Alessandro Antonucci, Fabio Cuzzolin
UAI
2003
13 years 6 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
DALT
2005
Springer
13 years 10 months ago
An Architecture for Rational Agents
Abstract. This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, highe...
John W. Lloyd, Tim D. Sears