Ensemble Variance is the variability in predictions made by an ensemble model due to fluctuations in the training data, distinguishing it from the variance of individual base learners by quantifying the overall sensitivity of the aggregated model to perturbations in the learning sample.
99
Publications
8.5K
Citations
250
Authors
138
Institutions
Publications per year
2017–2026
19
Parents
Publications
99
Inference for the Generalization Error
Claude Nadeau · Machine Learning · 2003 · 959 citations · Full text
1–5 of 99
Authors
250
- CH
8
h-index
- CACarolyn A. Reynolds
United States Naval Research Laboratory, United States
4 publications · 85 citations
4
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- DH
3
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- SJ
3
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- UN
2
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1–5 of 250
Institutions
138
United States Naval Research Laboratory
Washington, United States
10 h-index
27 publications
539 citations
University of Washington
Seattle, United States
6 h-index
12 publications
5.4K citations
Pennsylvania State University
State College, United States
6 h-index
14 publications
953 citations
Centre National de la Recherche Scientifique
Paris, France
5 h-index
18 publications
804 citations
European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
4 h-index
12 publications
580 citations
University of Miami
Coral Gables, United States
3 h-index
3 publications
52 citations
NSF National Center for Atmospheric Research
Boulder, United States
3 h-index
8 publications
1.2K citations
NOAA National Centers for Environmental Prediction
College Park, United States
3 h-index
3 publications
440 citations
1–8 of 138
Venues
- Monthly Weather Review
16 publications · 2.1K citations
14
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- Quarterly Journal of the Royal Meteorological Society
10 publications · 373 citations
10
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- Journal of the Atmospheric Sciences
5 publications · 729 citations
5
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- Climate Dynamics
3 publications · 183 citations
3
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- Journal of Sound and Vibration
JSV · 3 publications · 100 citations
3
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