Feb 13, 2014 · This paper introduces the fuzzy-histogram mutual-information estimator. The fuzzy-histogram MI estimator uses the fuzzy partitioning. We ...

There are several methods to approximate the MI, but arguably one of the simplest and most widespread techniques is the histogram-based approach. This paper ...

This paper suggests the use of fuzzy partitioning for the histogram-based MI estimation. It uses a general form of fuzzy membership functions, which includes ...

ized mutual information (both the fuzzy-histogram estimation and the histogram estimation) can indicate the dependencies between X and Xd for different d's.

This work compares state of the art methods for estimating MI from continuous data, focusing on the usefulness for the feature selection task, and suggests ...

In this work, we propose a method for the numerical estimation of mutual information from continuous data.

We develop the use of mutual information (MI), a well-established metric in in- formation theory, to interpret the inner workings of deep learning models.

Article on A new histogram-based estimation technique of entropy and mutual information using mean squared error minimization, published in Computers ...

The results obtained indicate that a fuzzy histogram binning estimation approach is significantly faster and more accurate than the conventional non-parametric ...

Estimation of mutual information by the fuzzy histogram. Mutual Information (MI) is an important dependency measure between random variables, due to its ...