Probabilistic Classification
Probabilistic Classification is a supervised learning method that assigns class labels by modeling the probability distribution over possible output classes given an input, distinguishing itself from deterministic classifiers through its explicit representation of uncertainty in predictions.
906
Publications
76.6K
Citations
2.4K
Authors
935
Institutions
Publications per year
2017–2026
195
906
A Neostriatal Habit Learning System in Humans
Barbara J. Knowlton, Jennifer A. Mangels, Larry R. Squire · Science · 1996 · 1.8K citations
Predicting good probabilities with supervised learning
Alexandru Niculescu-Mizil, Rich Caruana · 2005 · 1.6K citations
1–5 of 906
2.4K
University of California, Los Angeles, United States
9 publications · 3K citations
9
h-index
8
h-index
7
h-index
6
h-index
5
h-index
1–5 of 2.4K
935

Centre National de la Recherche Scientifique
Paris, France
17 h-index
44 publications
3.6K citations
University of California San Diego
San Diego, United States
14 h-index
24 publications
8.6K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
25 publications
2.5K citations
University College London
London, United Kingdom
13 h-index
37 publications
2.2K citations
Stanford University
Stanford, United States
12 h-index
20 publications
4.3K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
11 h-index
37 publications
3.6K citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
34 publications
4.2K citations
Purdue University West Lafayette
West Lafayette, United States
11 h-index
29 publications
1.7K citations
1–8 of 935
Repository · 40 publications · 2K citations
22
h-index
18 publications · 885 citations
15
h-index
15 publications · 1.8K citations
15
h-index
TPAMI · 16 publications · 1.8K citations
14
h-index
15 publications · 3.6K citations
14
h-index
1–5