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03/27/2013
Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning
Comprehensible explanations of probabilistic reasoning are a prerequisit...
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03/06/2013
Intercausal Reasoning with Uninstantiated Ancestor Nodes
Intercausal reasoning is a common inference pattern involving probabilis...
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03/06/2013
Causality in Bayesian Belief Networks
We address the problem of causal interpretation of the graphical structu...
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02/27/2013
Some Properties of Joint Probability Distributions
Several Artificial Intelligence schemes for reasoning under uncertainty ...
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02/06/2013
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks
This paper introduces a computational framework for reasoning in Bayesia...
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01/23/2013
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data
We present a hybrid constraint-based/Bayesian algorithm for learning cau...
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01/18/2013
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks
Elicitation of probabilities is one of the most laborious tasks in build...
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01/16/2013
Causal Mechanism-based Model Construction
We propose a framework for building graphical causal model that is based...
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01/16/2013
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks
Monte Carlo sampling has become a major vehicle for approximate inferenc...
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01/10/2013
Confidence Inference in Bayesian Networks
We present two sampling algorithms for probabilistic confidence inferenc...
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10/19/2012
An Importance Sampling Algorithm Based on Evidence Pre-propagation
Precision achieved by stochastic sampling algorithms for Bayesian networ...
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10/19/2012
A Robust Independence Test for Constraint-Based Learning of Causal Structure
Constraint-based (CB) learning is a formalism for learning a causal netw...
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07/11/2012
Annealed MAP
Maximum a Posteriori assignment (MAP) is the problem of finding the most...
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07/04/2012
Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions
One of the main problems of importance sampling in Bayesian networks is ...
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03/15/2012
