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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.
2018
2018
We provide a rigorous definition of a certain kind of characterization for capacity regions of a family of Markoff networks which… 
2013
2013
With emergence of new techniques, data in many fields are getting larger and larger, especially in dimensionality aspect. The… 
2010
2010
A new greedy feature selection criterion is proposed as an enhancement of the conditional mutual information maximization… 
2009
2009
In this paper, we present a data mining based methodology for optimizing the outcome of a batch manufacturing process. Predictive… 
2008
2008
Research studentship of Queen Mary, the International Travel Grant of the Royal Academy of Engineering, and the Royal Society… 
2007
2007
In this work we introduce a new model for representing EEG signals and extracting discriminative features. We treat the outputs… 
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…