Underparameterization is a modeling condition in machine learning wherein a model has insufficient capacity, due to an inadequate number of parameters relative to the complexity of the underlying data structure, to capture relevant patterns and relationships effectively.
13
Publications
568
Citations
25
Authors
19
Institutions
Publications per year
2017–2026
7
Variants
Under-parameterization
Parents
Publications
13
Linear inference and underparameterized models
Robert L. Parker · Reviews of Geophysics · 1977 · 35 citations
1–5 of 13
Authors
25
- AS
2
h-index
- DA
1
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- YD
1
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- FO
1
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- RP
1
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1–5 of 25
Institutions
19
University of South Africa
Pretoria, South Africa
2 h-index
2 publications
197 citations
John Paul II Catholic University of Lublin
Lublin, Poland
1 h-index
1 publications
13 citations
Bocconi University
Milan, Italy
1 h-index
4 publications
112 citations
Systems Research Institute
Warsaw, Poland
1 h-index
2 publications
26 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
4 publications
280 citations
Université Paris Sciences et Lettres
Paris, France
1 h-index
2 publications
140 citations
Cracow University of Technology
Krakow, Poland
1 h-index
1 publications
13 citations
Universidade Federal do ABC
Santo André, Brazil
1 h-index
1 publications
13 citations
1–8 of 19
Venues
- Journal of the American Statistical Association
2 publications · 197 citations
2
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- Science China Information Sciences
1 publications · 28 citations
1
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- Neurocomputing
1 publications · 22 citations
1
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- Journal of Physics A Mathematical and Theoretical
1 publications · 70 citations
1
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- Physical Review Research
1 publications · 72 citations
1
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1–5