Dynamic class imbalance learning for incremental LPSVM
نویسندگان
چکیده
منابع مشابه
Dynamic class imbalance learning for incremental LPSVM
Linear Proximal Support Vector Machines (LPSVMs), like decision trees, classic SVM, etc. are originally not equipped to handle drifting data streams that exhibit high and varying degrees of class imbalance. For online classification of data streams with imbalanced class distribution, we propose a dynamic class imbalance learning (DCIL) approach to incremental LPSVM (IncLPSVM) modeling. In doing...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2013
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2013.02.007