Proceedings

SVMC: Single-Class Classification With Support Vector Machines

Download BibTeX Cite

Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 567-573.

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).

Hwanjo Yu. 2003. SVMC: Single-Class Classification With Support Vector Machines. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 567–573. https://ijcai.org/proceedings/2003/84
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards