Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables. Abstract: This paper is focusing on exact Bayesian reasoning in systems of ...
This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative ...
In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of ...
In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of ...
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This paper discusses an approach to distributed Bayesian modeling and inference, which is relevant for an important class of contemporary real world ...
... Bayesian modeling and inference supports coherent distributed inference ... Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables.
In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of ...
de Oude, P. and Pavlin, G. (2009). Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables. pages 323-330. Dörner, D. and ...
Bayesian reasoning is a method that utilizes the Bayesian theorem and assumes independence between features to make inferences based on data samples, ...
We show that for singly connected networks, our algorithm generates the next instantiation in time polynomial in the size of the network. The algorithm extends ...