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Conditional mutual information

In probability theory, and in particular, information theory, the conditional mutual information is, in its most basic form, the expected value of… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Several recent works in communication systems have proposed to leverage the power of neural networks in the design of encoders… 
2013
2013
With emergence of new techniques, data in many fields are getting larger and larger, especially in dimensionality aspect. The… 
2012
2012
A simpler approach to the characterization of vanishing conditional mutual information is presented. Some remarks are given as… 
2010
2010
A new greedy feature selection criterion is proposed as an enhancement of the conditional mutual information maximization… 
2006
2006
  • R. Ahlswede
  • 2006
  • Corpus ID: 11361095
Summary form only given: Recently Terence Tao approached Szemeredi's regularity lemma from the perspectives of probability theory… 
2006
2006
—We study directed information in Bayesian networks and related structures. Mutual information is split into directed information… 
2005
2005
This paper describes a novel approach for class-dependent modeling and its application to automatic text-independent speaker… 
2002
2002
In previous papers, we expressed the Entanglement of Formation in terms of Conditional Mutual Information (CMI). In this brief…