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Erin L. Allwein

dblp:34/5886 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 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
Learning theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory › classification
multiclass classification
0.122000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · J. Mach. Learn. Res. 2000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · ICML 2000
Machine learning › Learning theory › classification › multiclass classification
reduction to binary classification
0.122000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · J. Mach. Learn. Res. 2000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · ICML 2000
Machine learning › Learning theory
classification
0.012000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · J. Mach. Learn. Res. 2000
Machine learning › Learning theory › classification › margin-based classification
margin classifiers
0.012000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers · ICML 2000

Methods — techniques the papers use, named apart from their topics

margin theory · 0.0margin classifiers · 0.0error-correcting output codes · 0.0
YearPublicationVenuePosition
2000 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Erin L. Allwein, Robert E. Schapire, Yoram Singer
ICML1
2000 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Erin L. Allwein, Robert E. Schapire, Yoram Singer
J. Mach. Learn. Res.1