Multi-Information is a measure in information theory that generalizes mutual information by quantifying the total amount of dependency among multiple random variables, defined as the difference between the sum of individual entropies and the joint entropy of the variables.
123
Publications
5.9K
Citations
499
Authors
192
Institutions
Publications per year
2017–2026
86
Publications
123
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning
Xiaopeng Yan, Ziliang Chen, Anni Xu et al. · 2019 · 611 citations
A Tutorial on Bayesian Optimization
Peter I. Frazier · arXiv (Cornell University) · 2018 · 376 citations · Full text
Combining Information: Statistical Issues and Opportunities for Research
Denise L. Draper, Donald P. Gaver, Pranay Goel et al. · 1993 · 281 citations
1–5 of 123
Authors
499
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- BY
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- DK
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1–5 of 499
Institutions
192
Texas A&M University
College Station, United States
6 h-index
6 publications
240 citations
Qingdao University of Science and Technology
Qingdao, China
4 h-index
4 publications
389 citations
Northeastern University
Shenyang, China
4 h-index
4 publications
188 citations
North China Electric Power University
Beijing, China
4 h-index
4 publications
111 citations
University of Science and Technology of China
Hefei, China
3 h-index
3 publications
358 citations
China University of Mining and Technology
Xuzhou, China
3 h-index
3 publications
312 citations
Hefei University of Technology
Hefei, China
3 h-index
3 publications
147 citations
University of Shanghai for Science and Technology
Shanghai, China
3 h-index
3 publications
104 citations
1–8 of 192
Venues
- IEEE Access
5 publications · 80 citations
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- arXiv (Cornell University)
Repository · 3 publications · 426 citations
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- Chemometrics and Intelligent Laboratory Systems
3 publications · 422 citations
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- Physical Review E
PRE · 3 publications · 261 citations
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- Measurement
3 publications · 137 citations
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