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Robert L. Wolpert

dblp:14/722 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 44% Learning theory · 44% Kernel, tree and ensemble methods · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference › bayesian nonparametric model
bayesian kernel models
0.112007
Characterizing the Function Space for Bayesian Kernel Models · J. Mach. Learn. Res. 2007
Machine learning › Learning theory › approximation theory
function space characterization
0.112007
Characterizing the Function Space for Bayesian Kernel Models · J. Mach. Learn. Res. 2007
Machine learning › Kernel, tree and ensemble methods › kernel methods
reproducing kernel hilbert space
0.012007
Characterizing the Function Space for Bayesian Kernel Models · J. Mach. Learn. Res. 2007

Methods — techniques the papers use, named apart from their topics

bayesian kernel models · 0.1
YearPublicationVenuePosition
2007 Characterizing the Function Space for Bayesian Kernel Models
Natesh S. Pillai, Qiang Wu 0003, Sayan Mukherjee 0001, Robert L. Wolpert
J. Mach. Learn. Res.5
2005 Fractional Ornstein-Uhlenbeck Lévy processes and the Telecom process: Upstairs and downstairs
Robert L. Wolpert, Murad S. Taqqu
Signal Process.1