Demo Data from SIGIR 2026 / reviewers in the wild / expert
Eric Perrier
dblp:10/8001
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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
1 paper |
Probabilistic and Bayesian machine learning · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 4 heaviest of 4, 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 | 2010 | Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure · J. Mach. Learn. Res. 2010 |
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
structure learning |
0.1 | 1 | 2010 | Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure · J. Mach. Learn. Res. 2010 |
Mathematical optimization
discrete optimization |
0.1 | 1 | 2010 | Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure · J. Mach. Learn. Res. 2010 |
Mathematical optimization › heuristic optimization
search-based optimization |
0.1 | 1 | 2010 | Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure · J. Mach. Learn. Res. 2010 |
Methods — techniques the papers use, named apart from their topics
optimal search · 0.2clustered structural constraints · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano |
J. Mach. Learn. Res. | 2 |