SVMC: single-class classification with support vector machines

Authors:
Hwanjo Yu
Affiliations:
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

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Abstract

Single-Class Classification (SCC) seeks to distinguish one class of data from the universal set of multiple classes. We present a new SCC algorithm that efficiently computes an accurate boundary of the target class from positive and unlabeled data (without labeled negative data).