DeepAI AI Chat

Entropy and Belief Networks

03/13/2013

∙

by Norman C. Dalkey, et al.

∙

∙

The product expansion of conditional probabilities for belief nets is not maximum entropy. This appears to deny a desirable kind of assurance for the model. However, a kind of guarantee that is almost as strong as maximum entropy can be derived. Surprisingly, a variant model also exhibits the guarantee, and for many cases obtains a higher performance score than the product expansion.

page 1

page 2

page 3

page 4

∙ 03/27/2013

Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases

Kutato is a system that takes as input a database of cases and produces ...

0 Edward H. Herskovits, et al. ∙

∙ 01/16/2013

Credal Networks under Maximum Entropy

We apply the principle of maximum entropy to select a unique joint proba...

0 Thomas Lukasiewicz, et al. ∙

∙ 02/20/2019

From Sharma-Mittal to von-Neumann Entropy of a Graph

In this article, we introduce the Sharma-Mittal entropy of a graph, whic...

0 Souma Mazumdar, et al. ∙

∙ 06/06/2019

Ihara Zeta Entropy

In this article, we introduce an entropy based on the formal power serie...

0 Supriyo Dutta, et al. ∙

∙ 04/11/2014

Bayesian image segmentations by Potts prior and loopy belief propagation

This paper presents a Bayesian image segmentation model based on Potts p...

0 Kazuyuki Tanaka, et al. ∙

∙ 06/07/2021

The Convexity and Concavity of Envelopes of the Minimum-Relative-Entropy Region for the DSBS

In this paper, we prove that for the doubly symmetric binary distributio...

0 Lei Yu, et al. ∙

∙ 03/27/2013

Decisions with Limited Observations over a Finite Product Space: the Klir Effect

Probability estimation by maximum entropy reconstruction of an initial r...

0 Michael Pittarelli, et al. ∙