Bayesian Decision Trees
Bayesian Decision Trees is a probabilistic decision tree model that incorporates Bayesian inference to estimate posterior distributions over tree structures and parameters, distinguishing itself from classical decision trees by formally quantifying uncertainty in both predictions and tree topology through prior and posterior probabilities.
105
Publications
4.9K
Citations
300
Authors
153
Institutions
Publications per year
2017–2026
35
Parents
105
Íñigo Monedero, Félix Biscarri, Carlos León et al. · International Journal of Electrical Power & Energy Systems · 2011 · 162 citations · Full text
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
Kazim Topuz, Ferhat D. Zengul, Ali Dağ et al. · Decision Support Systems · 2017 · 151 citations
Medicine, Nephrology, Surgery +16
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153
University of Bedfordshire
Luton, United Kingdom
5 h-index
12 publications
342 citations

University of Exeter
Exeter, United Kingdom
5 h-index
16 publications
521 citations
University of California, Irvine
Irvine, United States
4 h-index
7 publications
862 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
64 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
80 citations
Université de Rennes
Rennes, France
2 h-index
2 publications
44 citations
Tongji University
Shanghai, China
2 h-index
4 publications
55 citations
Microsoft (United States)
Redmond, United States
2 h-index
5 publications
144 citations
1–8 of 153
Repository · 3 publications · 50 citations
3
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TPAMI · 2 publications · 95 citations
2
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2 publications · 408 citations
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2 publications · 72 citations
2
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2 publications · 146 citations
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