Peter Hooper

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4ranked-venue papers

2as first author

0since 2021 · last 2009

—ORCID · unresolved

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

Artificial intelligence and machine learning · 4 · 2 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 · 67% Trustworthy machine learning · 33%

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

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models bayesian network	0.1	1	2008	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference · Artif. Intell. 2008
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference bayesian network inference	0.1	1	2008	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference · Artif. Intell. 2008
Machine learning › Trustworthy machine learning uncertainty estimation	0.1	1	2008	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference · Artif. Intell. 2008

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

bayesian inference · 0.1

Year	Publication	Venue	Position
2009	Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn	UAI	1
2008	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference Tim Van Allen, Ajit Singh, Russell Greiner, Peter Hooper	Artif. Intell.	4
2004	Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters Peter Hooper	UAI	1
2001	Bayesian Error-Bars for Belief Net Inference Tim Van Allen, Russell Greiner, Peter Hooper	UAI	3