SVMC: single-class classification with support vector machines
Hwanjo Yu · International Joint Conference on Artificial Intelligence · 2003
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).