In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability ...
In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability ...
Given n random variables and a set of m ob- servations of each of the n variables, the Bayesian network inference problem is to infer a directed acyclic.
Given n random variables and a set of m observations of each of the n variables, the Bayesian network (BN) structure learning problem is to infer a directed ...
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In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability ...
This paper presents a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient, and demonstrates the applicability ...
In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability ...
Nikolova, O., Zola, J. and Aluru, S., "A Parallel Algorithm for Exact Bayesian Network Inference", In International Conference on High Performance Computing ...
We have presented an implementation of a parallel algorithm for exact inference on arbitrary Bayesian networks. Our experiments show that our solution ...
This work presents a parallel algorithm capable of computing the exact posterior probabilities for all $n(n-1)$ edges with optimal parallel space efficiency ...