
Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)
This is the Proceedings of the Fifth Conference on Uncertainty in Artifi...
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Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (1990)
This is the Proceedings of the Sixth Conference on Uncertainty in Artifi...
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A Framework for Comparing Uncertain Inference Systems to Probability
Several different uncertain inference systems (UISs) have been developed...
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Practical Issues in Constructing a Bayes' Belief Network
Bayes belief networks and influence diagrams are tools for constructing ...
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A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis
There has long been debate about the relative merits of decision theoret...
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How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates
Bayesian inference systems should be able to explain their reasoning to ...
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Qualitative Propagation and Scenariobased Explanation of Probabilistic Reasoning
Comprehensible explanations of probabilistic reasoning are a prerequisit...
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Searchbased Methods to Bound Diagnostic Probabilities in Very Large Belief Nets
Since exact probabilistic inference is intractable in general for large ...
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Intercausal Reasoning with Uninstantiated Ancestor Nodes
Intercausal reasoning is a common inference pattern involving probabilis...
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Knowledge Engineering for Large Belief Networks
We present several techniques for knowledge engineering of large belief ...
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An Experimental Comparison of Numerical and Qualitative Probabilistic Reasoning
Qualitative and infinitesimal probability schemes are consistent with th...
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Efficient Estimation of the Value of Information in Monte Carlo Models
The expected value of information (EVI) is the most powerful measure of ...
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Efficient SearchBased Inference for NoisyOR Belief Networks: TopEpsilon
Inference algorithms for arbitrary belief networks are impractical for l...
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Why Is Diagnosis Using Belief Networks Insensitive to Imprecision In Probabilities?
Recent research has found that diagnostic performance with Bayesian beli...
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Max Henrion
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CEO and Founder, Lumina Decision Systems. Adjunct Professor (formerly Associate Professor) at Carnegie Mellon, Department of Engineering and Public Policy. Founding President Association of Uncertainty and Artificial Intelligence. PhD Carnegie Mellon University, MDes Royal College of Art, London, BA Cambridge University.