Decisions with Limited Observations over a Finite Product Space: the Klir Effect
Artificial Intelligence
2013-04-05 v1
Abstract
Probability estimation by maximum entropy reconstruction of an initial relative frequency estimate from its projection onto a hypergraph model of the approximate conditional independence relations exhibited by it is investigated. The results of this study suggest that use of this estimation technique may improve the quality of decisions that must be made on the basis of limited observations over a decomposable finite product space.
Keywords
Cite
@article{arxiv.1304.1132,
title = {Decisions with Limited Observations over a Finite Product Space: the Klir Effect},
author = {Michael Pittarelli},
journal= {arXiv preprint arXiv:1304.1132},
year = {2013}
}
Comments
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)