Abstract
Investigators publish new report on Support Vector Machines. According to news reporting from Haikou, People’s Republic of China, by NewsRx journalists, research stated, “Recent advance in linear support vector machine with the 0-1 soft-margin loss (L-0/1-SVM) shows the ability to solve the 0-1 loss problem directly. However, its theoretical and algorithmic requirements restrict us from directly extending the linear solving framework to its nonlinear kernel form.” Funders for this research include Natural Science Foundation of Hainan Province, China, National Natural Science Foundation of China (NSFC), Scientific Research cultivation project for young teachers at Hainan University, Education Department of Hainan Province, China, Key Laboratory of Engineering Modeling and Statistical Computation of Hainan Province.
NETL
NSTL
Elsevier