Demo Data from EDBT 2026 / reviewers in the wild / expert
John Binder
dblp:06/3294
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 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
2 papers |
Probabilistic and Bayesian machine learning · 75% Deep learning architectures and training · 25% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 5 heaviest of 6, 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
dynamic bayesian network |
0.0 | 1 | 1997 | Space-Efficient Inference in Dynamic Probabilistic Networks · IJCAI 1997 |
Machine learning › Probabilistic and Bayesian machine learning › structured models
graphical models |
0.0 | 1 | 1997 | Space-Efficient Inference in Dynamic Probabilistic Networks · IJCAI 1997 |
Algorithms and data structures
space-efficient algorithms |
0.0 | 1 | 1997 | Space-Efficient Inference in Dynamic Probabilistic Networks · IJCAI 1997 |
Machine learning › Deep learning architectures and training › neural network training
local learning |
0.0 | 1 | 1995 | Local Learning in Probabilistic Networks with Hidden Variables · IJCAI 1995 |
Machine learning › Probabilistic and Bayesian machine learning › structured models
latent variable model |
0.0 | 1 | 1995 | Local Learning in Probabilistic Networks with Hidden Variables · IJCAI 1995 |
Methods — techniques the papers use, named apart from their topics
inference · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Space-Efficient Inference in Dynamic Probabilistic Networks
John Binder, Kevin Murphy 0002, Stuart Russell 0001 |
IJCAI | 1 |
| 1997 | Adaptive Probabilistic Networks with Hidden Variables
John Binder, Daphne Koller, Stuart Russell 0001, Keiji Kanazawa |
Mach. Learn. | 1 |
| 1995 | Local Learning in Probabilistic Networks with Hidden Variables
Stuart Russell 0001, John Binder, Daphne Koller, Keiji Kanazawa |
IJCAI | 2 |