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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Piyaphol Phoungphol, Yanqing Zhang, Yichuan Zhao
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Tsinghua University Press 2012-12-01
Saila:Tsinghua Science and Technology
Gaiak:
multiclass classification
imbalanced data
ramp-loss
support vector machine (svm)
biomedical data
Sarrera elektronikoa:https://www.sciopen.com/article/10.1109/TST.2012.6374363
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