Conditional Likelihood
Conditional Likelihood is a probabilistic measure that quantifies the likelihood of observed data given a specific set of parameter values and a conditional probability model, distinguishing itself from marginal or joint likelihoods by explicitly incorporating the dependence of outcomes on given conditions or prior events.
540
Publications
83.8K
Citations
1K
Authors
511
Institutions
Publications per year
2017–2026
66
Parents
540
D. R. Cox · Biometrika · 1975 · 2.3K citations
Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao et al. · 2013 · 2.1K citations
1–5 of 540
1K
6
h-index
National Institute of Allergy and Infectious Diseases, United States
6 publications · 236 citations
6
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6
h-index
5
h-index
5
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1–5 of 1K
511

Johns Hopkins University
Baltimore, United States
15 h-index
24 publications
1.1K citations

Pennsylvania State University
State College, United States
10 h-index
14 publications
1.1K citations
University of Washington
Seattle, United States
10 h-index
13 publications
2.8K citations
National Cancer Institute
Bethesda, United States
8 h-index
16 publications
758 citations
Stanford University
Stanford, United States
8 h-index
16 publications
5.7K citations

University of Waterloo
Waterloo, Canada
7 h-index
8 publications
460 citations
Harvard University
Cambridge, United States
7 h-index
7 publications
1.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
11 publications
822 citations
1–8 of 511
31 publications · 4.1K citations
23
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29 publications · 3.1K citations
19
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22 publications · 835 citations
16
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20 publications · 3.6K citations
15
h-index
18 publications · 41.4K citations
14
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1–5