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Eun Bae Kong

dblp:26/178 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory › statistical learning theory
bias-variance tradeoff
0.011995
Error-Correcting Output Coding Corrects Bias and Variance · ICML 1995
Machine learning › Kernel, tree and ensemble methods
ensemble learning
0.011995
Error-Correcting Output Coding Corrects Bias and Variance · ICML 1995
Machine learning › Learning theory › classification › multiclass classification
error-correcting output codes
0.011995
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
YearPublicationVenuePosition
1995 Error-Correcting Output Coding Corrects Bias and Variance
Eun Bae Kong, Thomas G. Dietterich
ICML1