Reformulating Inference Problems through Selective Conditioning

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KSL-92-50 +  redirect page

Reformulating Inference Problems through Selective Conditioning +  Has identifier

Reformulating Inference Problems through Selective Conditioning +  Ksl tr id

Reformulating Inference Problems through Selective Conditioning +  Number

Reformulating Inference Problems through Selective Conditioning

Bibtype  techreport

Has publishing details  1992

Has title  Reformulating Inference Problems through Selective Conditioning

Has where published  KSL-92-50

Has year  1992

Title  Reformulating Inference Problems through Selective Conditioning

Year  1992

Abstract  We describe how we selectively reformulate We describe how we selectively reformulate portions of a belief network that pose difficulties for solution with a stochastic-simulation algorithm. We employ the selective conditioning approach to target specific nodes in a belief network for decomposition, based on the contribution the nodes make to the tractability of stochastic simulation. We review previous work on BNRAS algorithms-randomized approximation algorithms for probabilistic inference. We show how selective conditioning can be employed to reformulate a single BNRAS problem into multiple tractable BNRAS simulation problems. We discuss how we can use another simulation algorithm-logic sampling-to solve a component of the inference problem that provides a means for knitting the solutions of individual subproblems into a final result. Finally, we analyze tradeoffs among the computational subtasks associated with the selective conditioning approach to reformulation. ve conditioning approach to reformulation.

Address  Stanford, CA +

Author  Paul Dagum and Eric Horvitz +

Has author  Paul Dagum and Eric Horvitz +

Has identifier  Reformulating Inference Problems through Selective Conditioning +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Reformulating Inference Problems through Selective Conditioning +

Number  Reformulating Inference Problems through Selective Conditioning +

Process note  YES +

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

 

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