Maximum entropy probability distribution

Known as: Maximum entropy, Maximum entropy distribution, Maximum uncertainty probability distribution

In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2019

Efficient protein synthesis depends on the availability of charged tRNA molecules. With 61 different codons, shifting the balance…

2017

Typed model counting expands model counting of propositional formulas by the ability to distinguish between certain types of…

2017

Closed-form stochastic filtering equations can be derived in a general setting where probability distributions are replaced by…

2016

2012

One important aspect of creating game bots is adversarial motion planning: identifying how to move to counter possible actions…

2011

We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate…

2008

In this paper, we consider the methods of obtaining maximum entropy multivariate distributions via Burg’s measure of entropy…

2007

2007

We investigate the problem of establishing the joint probability distribution of the entries of a multiple-input multiple-output…

1979

We describe a generalized maximum entropy principle for dealing with decision problems involving uncertainty but with some prior…