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).

Authors

• Hwanjo Yu Pohang University of Science and Technology (POSTECH), Republic of Korea

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