SVMC: Single-Class Classification With Support Vector Machines

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).

• Type: Conference
• Year: 2003
• Where: IJCAI
• Authors: Hwanjo Yu
• Keywords: IJCAI 2003, IJCAI 2007, Single-Class Classification, Universal Set, Unlabeled Data