Negative Log-likelihood
Negative Log-Likelihood is a loss function that measures the dissimilarity between the true data distribution and the predicted probability distribution by taking the negative logarithm of the likelihood of the observed data under the model's estimated parameters.
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2017–2026
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MODELTEST: testing the model of DNA substitution.
David Posada, Keith A. Crandall · Bioinformatics · 1998 · 20.1K citations
Benedek Rózemberczki, Ryan Davies, Rik Sarkar et al. · 2019 · 270 citations · Full text
Computing, Data Science, Data Mining +15
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University of California, Berkeley
Berkeley, United States
8 h-index
18 publications
533 citations
Google (United States)
Mountain View, United States
6 h-index
14 publications
478 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
11 publications
402 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
173 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
7 publications
620 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
6 publications
102 citations
Wuhan University
Wuhan, China
4 h-index
16 publications
363 citations

University of Windsor
Windsor, Canada
4 h-index
11 publications
681 citations
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Repository · 32 publications · 1K citations
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Conference · 4 publications · 139 citations
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