Add to ORKGWe present an extension of Jaynes\u27 maximum entropy principle to handle latent variables. We use an EM algorithm that incorporates nested iterative scaling to approximately calculate maximum entropy solutions for this principle, and give a proof of its convergence
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
We study the effect of the Maximum Entropy Principle (MEP) on the thermodynamic behaviour of gases. ...
A rate equation for a discrete probability distribution is discussed as a route to describe smooth r...
We present an extension to Jaynes’ maximum entropy principle that incorporates latent variables. The...
AbstractA maximum entropy principle is developed in the general framework of the band method. Known ...
We present a new approach to estimating mixture models based on a new inference principle we have pr...
Abstract The well known maximum-entropy principle due to Jaynes, which states that given mean parame...
We present a new statistical learning paradigm for Boltzmann machines based on a new inference pri...
We present a new approach to estimating mix-ture models based on a new inference princi-ple we have ...
We describe an algorithm to efficiently compute maximum entropy densities, i.e. densities maximizing...
We devise a maximum entropy technique to construct (approximate) time-dependent solutions to evoluti...
The Maximum Entropy Principle (MEP) maximizes the entropy subject to the constraint that the effort ...
We show that the Maximum Entropy principle (E.T. Jaynes, [8]) has a natural description in terms of ...
We study maximum entropy correlated equilibria (Maxent CE) in multi-player games. After motivating a...
This paper presents a new approach to estimating mixture models based on a recent inference principl...
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
We study the effect of the Maximum Entropy Principle (MEP) on the thermodynamic behaviour of gases. ...
A rate equation for a discrete probability distribution is discussed as a route to describe smooth r...
We present an extension to Jaynes’ maximum entropy principle that incorporates latent variables. The...
AbstractA maximum entropy principle is developed in the general framework of the band method. Known ...
We present a new approach to estimating mixture models based on a new inference principle we have pr...
Abstract The well known maximum-entropy principle due to Jaynes, which states that given mean parame...
We present a new statistical learning paradigm for Boltzmann machines based on a new inference pri...
We present a new approach to estimating mix-ture models based on a new inference princi-ple we have ...
We describe an algorithm to efficiently compute maximum entropy densities, i.e. densities maximizing...
We devise a maximum entropy technique to construct (approximate) time-dependent solutions to evoluti...
The Maximum Entropy Principle (MEP) maximizes the entropy subject to the constraint that the effort ...
We show that the Maximum Entropy principle (E.T. Jaynes, [8]) has a natural description in terms of ...
We study maximum entropy correlated equilibria (Maxent CE) in multi-player games. After motivating a...
This paper presents a new approach to estimating mixture models based on a recent inference principl...
In this letter, we elaborate on some of the issues raised by a recent paper by Neapolitan and Jiang ...
We study the effect of the Maximum Entropy Principle (MEP) on the thermodynamic behaviour of gases. ...
A rate equation for a discrete probability distribution is discussed as a route to describe smooth r...