Determination of the Entropy of a Belief Network is NP-Hard

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KSL-90-21 +  redirect page

Determination of the Entropy of a Belief Network is NP-Hard +  Has identifier

Determination of the Entropy of a Belief Network is NP-Hard +  Ksl tr id

Determination of the Entropy of a Belief Network is NP-Hard +  Number

Determination of the Entropy of a Belief Network is NP-Hard

Bibtype  techreport

Has publishing details  June,1991

Has title  Determination of the Entropy of a Belief Network is NP-Hard

Has where published  KSL-90-21

Has year  1991

Title  Determination of the Entropy of a Belief Network is NP-Hard

Year  1991

Abstract  In this paper, we analyze the computationa In this paper, we analyze the computational complexity of determining the entropy of an arbitrary probability distribution represented by a belief network, and show that this task is NP-hard in the number of nodes in the network. This analysis is similar to the analysis of the computational complexity of inference using belief networks. lexity of inference using belief networks.

Address  Stanford, CA, USA +

Author  Gregory F. Cooper and Edward Herskovits +

Has author  Gregory F. Cooper and Edward Herskovits +

Has identifier  Determination of the Entropy of a Belief Network is NP-Hard +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Determination of the Entropy of a Belief Network is NP-Hard +

Month  June +

Number  Determination of the Entropy of a Belief Network is NP-Hard +

Process note  NO +

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

 

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