Probabilistic Regression
Probabilistic Regression is a regression framework that, as a member of the class of probabilistic machine learning methods, models the conditional distribution of the response variable given the inputs to quantify predictive uncertainty, distinguishing itself from deterministic regression by providing a full probability distribution over possible outputs rather than a single point estimate.
133
Publications
8.9K
Citations
372
Authors
221
Institutions
Publications per year
2017–2026
58
133
Latent aspect rating analysis on review text data
Hongning Wang, Yue Lu, ChengXiang Zhai · 2010 · 659 citations
Active Learning with Gaussian Processes for Object Categorization
Ashish Kapoor, Kristen Grauman, Raquel Urtasun et al. · 2007 · 330 citations
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221

Central South University
Changsha, China
5 h-index
16 publications
955 citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
5 h-index
10 publications
1K citations
Ludwig-Maximilians-Universität München
Munich, Germany
3 h-index
3 publications
220 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
4 publications
139 citations
University of Zurich
Zurich, Switzerland
3 h-index
4 publications
165 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
195 citations

UNSW Sydney
Sydney, Australia
2 h-index
3 publications
142 citations

Zhejiang University
Hangzhou, China
2 h-index
2 publications
108 citations
1–8 of 221
Repository · 6 publications · 303 citations
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5 publications · 265 citations
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3 publications · 1.1K citations
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3 publications · 130 citations
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SHM · 2 publications · 125 citations
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