Likelihood Encoding is a categorical encoding technique that replaces each category with the estimated likelihood of the target variable given the category, thereby transforming categorical features into numerical representations informed by the statistical relationship between category and outcome.
9
Publications
585
Citations
23
Authors
19
Institutions
Publications per year
2017–2026
6
Parents
Publications
9
How much to trust the senses: Likelihood learning
Yoshiyuki Satō, Konrad P. Körding · Journal of Vision · 2014 · 44 citations · Full text
1–5 of 9
Authors
23
- LF
2
h-index
- YB
2
h-index
- DRDaniel R. Schrider
University of North Carolina at Chapel Hill, United States
2 publications · 249 citations
2
h-index
- YSYoni Schamroth
1 publications · 11 citations
1
h-index
- PE
1
h-index
1–5 of 23
Institutions
19
Monsanto (United States)
Creve Coeur, United States
2 h-index
2 publications
249 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
249 citations
University of Minnesota
Minneapolis, United States
2 h-index
4 publications
498 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
38 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
1 publications
19 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
2 publications
400 citations
Indiana University
Bloomington, United States
1 h-index
1 publications
19 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
44 citations
1–8 of 19
Venues
- Psychological Research
1 publications · 19 citations
1
h-index
- Neurocomputing
1 publications · 28 citations
1
h-index
- arXiv (Cornell University)
Repository · 1 publications · 11 citations
1
h-index
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
1 publications · 15 citations
1
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- Pattern Recognition
1 publications · 19 citations
1
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1–5