Two-phase optimization for support vectors and parameter selection of support vector machines: two-class classification
SJ Wu, VH Pham, TN Nguyen - Applied Soft Computing, 2017 - Elsevier
Support vector machines (SVMs) are one of the most popular classification tools and show
the most potential to address under-sampled noisy data (a large number of features and a …
the most potential to address under-sampled noisy data (a large number of features and a …
Speeding up multi-SVMs through modified working set selection
SJ Wu, V Pham - International Journal of Computers and …, 2022 - Taylor & Francis
Support vector machines (SVMs) possess good accuracy in big data classification. However,
the computational cost in both training and testing stages is a critical issue. In this study, we …
the computational cost in both training and testing stages is a critical issue. In this study, we …