Tim Van Allen

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5ranked-venue papers

4as first author

0since 2021 · last 2008

—ORCID · none

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

Artificial intelligence and machine learning · 5 · 4 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

3 papers

Probabilistic and Bayesian machine learning · 55% Trustworthy machine learning · 21% Knowledge representation and reasoning · 16%

Topics — the 8 heaviest of 8, 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	2	2008	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference · Artif. Intell. 2008 Model Selection Criteria for Learning Belief Nets: An Empirical Comparison · ICML 2000
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
Knowledge, reasoning and agents › Knowledge representation and reasoning › temporal reasoning qualitative temporal reasoning	0.0	1	2001	A comparison of point-based approaches to qualitative temporal reasoning · Artif. Intell. 2001
Knowledge, reasoning and agents › Knowledge representation and reasoning temporal reasoning	0.0	1	2001	A comparison of point-based approaches to qualitative temporal reasoning · Artif. Intell. 2001
Machine learning › Probabilistic and Bayesian machine learning › structured models graphical models	0.0	1	2000	Model Selection Criteria for Learning Belief Nets: An Empirical Comparison · ICML 2000
Machine learning › Learning theory model selection	0.0	1	2000	Model Selection Criteria for Learning Belief Nets: An Empirical Comparison · ICML 2000
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning under uncertainty point-based method	0.0	1	2001	A comparison of point-based approaches to qualitative temporal reasoning · Artif. Intell. 2001

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

bayesian inference · 0.1qualitative temporal reasoning · 0.0point-based approaches · 0.0empirical comparison · 0.0

Year	Publication	Venue	Position
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.	1
2001	Bayesian Error-Bars for Belief Net Inference Tim Van Allen, Russell Greiner, Peter Hooper	UAI	1
2001	A comparison of point-based approaches to qualitative temporal reasoning James P. Delgrande, Arvind Gupta, Tim Van Allen	Artif. Intell.	3
2000	Model Selection Criteria for Learning Belief Nets: An Empirical Comparison Tim Van Allen, Russell Greiner	ICML	1
1998	Point-Based Approaches to Qualitative Temporal Reasoning Tim Van Allen, James P. Delgrande, Arvind Gupta	PRICAI	1