Mark A. Peot

Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

? Tutorial for this page

Demo Data from SIGIR 2026 / reviewers in the wild / expert

dblp:13/2414 · also Mark Alan Peot · DBLP profile ↗

← Back

8ranked-venue papers

4as first author

0since 2021 · last 2000

—ORCID · none

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

Artificial intelligence and machine learning · 8 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorTheory of computation · 1

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 4 papers		Knowledge representation and reasoning · 35% Planning, search and constraint satisfaction · 35% Probabilistic and Bayesian machine learning · 30%
Databases, data mining, and information retrieval 1 paper		Data models and query languages · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Data models and query languages structured query	1	2000	A Compositional Structured Query Approach to Automated Inference · KR 2000
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › classical planning partial-order planning	2	1993	Postponing Threats in Partial-Order Planning · AAAI 1993 Threat-Removal Strategies for Partial-Order Planning · AAAI 1993
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference bayesian network inference	1	1991	Fusion and Propagation with Multiple Observations in Belief Networks · Artif. Intell. 1991
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference belief propagation	1	1991	Fusion and Propagation with Multiple Observations in Belief Networks · Artif. Intell. 1991
Machine learning › Probabilistic and Bayesian machine learning › structured models graphical models	1	1991	Fusion and Propagation with Multiple Observations in Belief Networks · Artif. Intell. 1991
Knowledge, reasoning and agents › Planning, search and constraint satisfaction plan generation	1	1993	Threat-Removal Strategies for Partial-Order Planning · AAAI 1993
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › search-based planning plan-space planning	1	1993	Postponing Threats in Partial-Order Planning · AAAI 1993

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

partial-order planning · 0.0message passing · 0.0belief propagation · 0.0

Year	Publication	Venue	Position
2000	A Compositional Structured Query Approach to Automated Inference Yousri El Fattah, Mark A. Peot	KR	2
1998	Learning From What You Don't Observe Mark A. Peot, Ross D. Shachter	UAI	1
1996	Geometric Implications of the Naive Bayes Assumption Mark A. Peot	UAI	1
1993	Threat-Removal Strategies for Partial-Order Planning Mark A. Peot, David E. Smith 0001	AAAI	1
1993	Postponing Threats in Partial-Order Planning David E. Smith 0001, Mark A. Peot	AAAI	2
1992	Decision Making Using Probabilistic Inference Methods Ross D. Shachter, Mark A. Peot	UAI	2
1991	Fusion and Propagation with Multiple Observations in Belief Networks Mark A. Peot, Ross D. Shachter	Artif. Intell.	1
1989	Simulation Approaches to General Probabilistic Inference on Belief Networks Ross D. Shachter, Mark A. Peot	UAI	2