SVMC: Single-Class Classification With Support Vector Machines
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
Yu, H. (2003). SVMC: Single-Class Classification With Support Vector Machines. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 (pp. 567–573). IJCAI. https://ijcai.org/proceedings/2003/84
@inproceedings{ijcai2003p84,
title = {SVMC: Single-Class Classification With Support Vector Machines},
author = {Yu, Hwanjo},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {567--573},
year = {2003},
url = {https://ijcai.org/proceedings/2003/84},
}
TY - CPAPER TI - SVMC: Single-Class Classification With Support Vector Machines AU - Yu, Hwanjo T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 567 EP - 573 UR - https://ijcai.org/proceedings/2003/84 ER -Copied
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