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Highly Cited

2018

Highly Cited

2018

Estimating how uncertain an AI system is in its predictions is important to improve the safety of such systems. Uncertainty in…

Review

2014

Review

2014

Quantifying and assessing changes in biological diversity are central aspects of many ecological studies, yet accurate methods of…

Highly Cited

2013

Highly Cited

2013

EEG-based emotion recognition has been studied for a long time. In this paper, a new effective EEG feature named differential…

Highly Cited

2008

Highly Cited

2008

For many practical probability density representations such as for the widely used Gaussian mixture densities, an analytic…

Highly Cited

2003

Highly Cited

2003

We present a conceptually simple method for hierarchical clustering of data called mutual information clustering (MIC) algorithm…

Review

1997

Review

1997

We assume that H(f) is well-defined and is finite. The concept of differential entropy was introduced in Shannon’s original paper…

Highly Cited

1997

Highly Cited

1997

New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit

We derive a first-order approximation of the density of maximum entropy for a continuous 1-D random variable, given a number of…

Review

1996

Review

1991

Review

1991

Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the…

Highly Cited

1978

Highly Cited

1978

A table is given of differential entropies for various continuous probability distributions. The formulas, some of which are new…