Conditional Mutual Information is a measure of the amount of information that one random variable provides about another random variable given the knowledge of a third random variable, quantifying their residual dependence after accounting for the influence of the conditioning variable.
514
Publications
34.9K
Citations
1.2K
Authors
589
Institutions
Publications per year
2017–2026
189
Publications
514
Measuring Information Transfer
Thomas Schreiber · Physical Review Letters · 2000 · 4.5K citations · Full text
Fast Binary Feature Selection with Conditional Mutual Information
François Fleuret · 2004 · 836 citations
1–5 of 514
Authors
1.2K
- JB
9
h-index
- MM
8
h-index
- MPMilan Paluš
Czech Academy of Sciences, Institute of Computer Science, Czechia
7 publications · 776 citations
7
h-index
- LC
6
h-index
- MB
6
h-index
1–5 of 1.2K
Institutions
589
California Institute of Technology
Pasadena, United States
14 h-index
18 publications
922 citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
28 publications
1.1K citations
Chinese Academy of Sciences
Beijing, China
10 h-index
31 publications
5K citations
University of Washington
Seattle, United States
10 h-index
15 publications
491 citations
ETH Zurich
Zurich, Switzerland
10 h-index
18 publications
1.6K citations
Princeton University
Princeton, United States
9 h-index
13 publications
877 citations
Czech Academy of Sciences, Institute of Computer Science
Prague, Czechia
9 h-index
17 publications
1.4K citations
Yanshan University
Qinhuangdao, China
9 h-index
29 publications
812 citations
1–8 of 589
Venues
- IEEE Transactions on Information Theory
34 publications · 2.9K citations
24
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- arXiv (Cornell University)
Repository · 27 publications · 922 citations
16
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- Entropy
19 publications · 597 citations
15
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- PLoS ONE
10 publications · 236 citations
10
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- Physical Review Letters
PRL · 10 publications · 5.5K citations
10
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