Add to ORKGMaximum entropy method and its generalizations are very useful in data processing. In this paper, we show that these methods naturally follow from reasonable invariance requirements
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
AbstractThis paper shows that multivariate distributions can be characterized as maximum entropy (ME...
AbstractA maximum entropy principle is developed in the general framework of the band method. Known ...
The principle of maximum entropy is a general method to assign values to probability distributions o...
AbstractIt is shown that under a certain interpretation of belief maximum entropy arises naturally i...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
There are two entropy-based methods to deal with linear inverse problems, which we shall call the or...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
The maximum entropy problem for autocovariances given over a class of subsets of is solved. A more g...
The method of maximum entropy spectral analysis is reviewed . The main purpose is to establish this ...
The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an i...
We investigate the statistical properties of maximum entropy density estimation, both for the comple...
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only rec...
The principle of maximum entropy is a method for assigning values to probability distributions on th...
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
AbstractThis paper shows that multivariate distributions can be characterized as maximum entropy (ME...
AbstractA maximum entropy principle is developed in the general framework of the band method. Known ...
The principle of maximum entropy is a general method to assign values to probability distributions o...
AbstractIt is shown that under a certain interpretation of belief maximum entropy arises naturally i...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
There are two entropy-based methods to deal with linear inverse problems, which we shall call the or...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
The maximum entropy problem for autocovariances given over a class of subsets of is solved. A more g...
The method of maximum entropy spectral analysis is reviewed . The main purpose is to establish this ...
The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an i...
We investigate the statistical properties of maximum entropy density estimation, both for the comple...
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only rec...
The principle of maximum entropy is a method for assigning values to probability distributions on th...
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
AbstractThis paper shows that multivariate distributions can be characterized as maximum entropy (ME...