VLDB 2026 Research / reviewers in the wild / expert
Eun Bae Kong
dblp:26/178
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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
1 paper |
Learning theory · 67% Kernel, tree and ensemble methods · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory › statistical learning theory
bias-variance tradeoff |
0.0 | 1 | 1995 | Error-Correcting Output Coding Corrects Bias and Variance · ICML 1995 |
Machine learning › Kernel, tree and ensemble methods
ensemble learning |
0.0 | 1 | 1995 | Error-Correcting Output Coding Corrects Bias and Variance · ICML 1995 |
Machine learning › Learning theory › classification › multiclass classification
error-correcting output codes |
0.0 | 1 | 1995 | Error-Correcting Output Coding Corrects Bias and Variance · ICML 1995 |
Methods — techniques the papers use, named apart from their topics
error-correcting output codes · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Error-Correcting Output Coding Corrects Bias and Variance
Eun Bae Kong, Thomas G. Dietterich |
ICML | 1 |