VLDB 2026 Research / reviewers in the wild / expert
Eric Yap
dblp:52/4682
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 |
Learning theory · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory › statistical estimation
error estimation |
0.0 | 1 | 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection · ICML 2002 |
Machine learning › Learning theory
generalization |
0.0 | 1 | 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection · ICML 2002 |
Data mining › dimensionality reduction
feature selection |
0.0 | 1 | 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection · ICML 2002 |
Data mining › dimensionality reduction › feature selection
wrapper methods |
0.0 | 1 | 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection · ICML 2002 |
Methods — techniques the papers use, named apart from their topics
smoothed error estimates · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection
Loo-Nin Teow, Hwee Tou Ng, Eric Yap |
ICML | 4 |