AbstractConsidered here are absolutely continuous probability distributions, concentrated on the interval [0, 1], and with the first M algebraic moments assigned. Lower and upper bounds for entropy are provided solely in terms of assigned moments
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
International audienceWe characterize probability measures whose Hausdorff dimension or packing dime...
The recovering of a positive density function of which a finite number of moments are assigned is co...
In many practical situations, we have only partial information about the probabilities. In some case...
Abstract — The differential entropy is a quantity employed ubiquitously in communications, statistic...
Abstract — The differential entropy is a quantity employed ubiquitously in communications, statistic...
Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6178)Interna...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
Given a finite number of moments of an unknown density ̅ x on a finite measure space, the best entro...
This paper extends maximum entropy estimation of discrete probability distributions to the continuou...
International audienceIn 1994, Jim Massey proposed the guessing entropy as a measure of the difficul...
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
International audienceWe characterize probability measures whose Hausdorff dimension or packing dime...
The recovering of a positive density function of which a finite number of moments are assigned is co...
In many practical situations, we have only partial information about the probabilities. In some case...
Abstract — The differential entropy is a quantity employed ubiquitously in communications, statistic...
Abstract — The differential entropy is a quantity employed ubiquitously in communications, statistic...
Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6178)Interna...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
Given a finite number of moments of an unknown density ̅ x on a finite measure space, the best entro...
This paper extends maximum entropy estimation of discrete probability distributions to the continuou...
International audienceIn 1994, Jim Massey proposed the guessing entropy as a measure of the difficul...
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
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