A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks

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A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks +  Has identifier

A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks +  Ksl tr id

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A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks

Bibtype  techreport

Has publishing details  October,1989

Has title  A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks

Has where published  KSL-88-72

Has year  1989

Title  A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks

Year  1989

Abstract  Researchers in decision analysis and artif Researchers in decision analysis and artificial intelligence (AI) have used Bayesian belief networks to build probabilistic expert systems. Using standard methods drawn from the theory of computational complexity, workers in the field have shown that the problem of probabilistic inference in belief networks is difficult and almost certainly intractable. We have developed a randomized approximation scheme, BN-RAS, for doing probabilistic inference in belief networks. The algorithm can, in many circumstances, perform efficient approximate inference in large and richly interconnected models. Unlike previously described stochastic algorithms for probabilistic inference, the randomized approximation scheme (ras) computes a priori bounds on running time by analyzing the structure and contents of the belief network. In this article, we describe BN-RAS precisely and analyze its performance mathematically. nd analyze its performance mathematically.

Author  R. Martin Chavez and Gregory F. Cooper +

Has author  R. Martin Chavez and Gregory F. Cooper +

Has identifier  A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks +

Month  October +

Number  A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks +

Process note  YES +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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