Probabilistic Constraint Satisfaction with Non-Gaussian Noise

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KSL-95-68 +  redirect page

Probabilistic Constraint Satisfaction with Non-Gaussian Noise +  Has identifier

Probabilistic Constraint Satisfaction with Non-Gaussian Noise +  Ksl tr id

Probabilistic Constraint Satisfaction with Non-Gaussian Noise +  Number

Probabilistic Constraint Satisfaction with Non-Gaussian Noise

Bibtype  techreport

Has publishing details  September,1995

Has title  Probabilistic Constraint Satisfaction with Non-Gaussian Noise

Has where published  KSL-95-68

Has year  1995

Title  Probabilistic Constraint Satisfaction with Non-Gaussian Noise

Year  1995

Abstract  We have previously reported a Bayesian alg We have previously reported a Bayesian algorithm for determining the coordinates of points in three-dimensional space from uncertain constraints.This method is useful in the determination of biological molecular structure.It is limited, however, by the requirement that the uncertainty in the constraints be normally distributed. In this paper, we present an extension of the original algorithm that allows constraint uncertainty to be represented as a mixture of Gaussians, and thereby allows arbitrary constraint distributions. We illustrate the performance of this algorithm on a problem drawn from the domain of molecular structure determination, in which a multicomponent constraint representation produces a much more accurate solution than the old single component mechanism. The new mechanism uses mixture distributions to decompose the problem into a set of independent problems with unimodal constraint uncertainty. The results of the unimodal subproblems are periodically recombined using Bayes' law, to avoid combinatorial explosion. The new algorithm is particularly suited for parallel implementation. ularly suited for parallel implementation.

Note  Medical Computer Science

Address  Stanford, CA, USA +

Author  Russ B. Altman and Cheng Che Chen and William B. Poland and Jaswinder Pal Singh +

Has author  Russ B. Altman and Cheng Che Chen and William B. Poland and Jaswinder Pal Singh +

Has identifier  Probabilistic Constraint Satisfaction with Non-Gaussian Noise +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Probabilistic Constraint Satisfaction with Non-Gaussian Noise +

Month  September +

Number  Probabilistic Constraint Satisfaction with Non-Gaussian Noise +

Process note  NO +

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

 

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