A maximum entropy estimate of uncertainty about a wine rating

Frames: a Maximum Entropy Statistical Estimate of the Inverse Problem

A Maximum Entropy statistical treatment of an inverse problem concerning frame theory is presented. The problem arises from the fact that a frame is an overcomplete set of vectors that de nes a mapping with no unique inverse. Although any vector in the concomitant space can be expressed as linear combination of frame elements, the coe cients of the expansion are not unique. Frame theory guarant...

A Note on the Bivariate Maximum Entropy Modeling

Let X=(X1 ,X2 ) be a continuous random vector. Under the assumption that the marginal distributions of X1 and X2 are given, we develop models for vector X when there is partial information about the dependence structure between X1  and X2. The models which are obtained based on well-known Principle of Maximum Entropy are called the maximum entropy (ME) mo...

Wine Rating Prediction

In this project, we want to predict rating points of wines based on the historical reviews from experts. The wine data is scraped from WineEnthusiast[1] and we used the price, wine variety and several winery location related information as the training features, and output the predicted rating for a wine. Since the desired output was a real-number value of rating, We focused on exploring a vari...

Determination of Maximum Bayesian Entropy Probability Distribution

In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. Next, some numerical solutions are considered for the cases of unavailable closed form of solutions. Finally, these methods are illustrated via some numerical examples.

Maximum entropy covariance estimate for statistical pattern recognition