Robust Multiclass Classification for Learning from Imbalanced Biomedical Data

Imbalanced data is a common and serious problem in many biomedical classification tasks. It causes a bias on the training of classifiers and results in lower accuracy of minority classes prediction. This problem has attracted a lot of research interests in the past decade. Unfortunately, most resear...

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Бібліографічні деталі
Автори:	Piyaphol Phoungphol, Yanqing Zhang, Yichuan Zhao
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Tsinghua University Press 2012-12-01
Серія:	Tsinghua Science and Technology
Предмети:	multiclass classification imbalanced data ramp-loss support vector machine (svm) biomedical data
Онлайн доступ:	https://www.sciopen.com/article/10.1109/TST.2012.6374363
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Robust Multiclass Classification for Learning from Imbalanced Biomedical Data

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