首页|New Findings in Support Vector Machines Described from Nanjing University of Inf ormation Science and Technology (NUIST) (Kernel Path for Semisupervised Support Vector Machine)
New Findings in Support Vector Machines Described from Nanjing University of Inf ormation Science and Technology (NUIST) (Kernel Path for Semisupervised Support Vector Machine)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Support Vector Machines is the subject of a report. According to news reporting originating from Nanjing, People' s Republic of China, by NewsRx correspondents, research stated, “Semisupervised support vector machine ((SVM)-V-3) is a powerful semisupervised learning model t hat can use large amounts of unlabeled data to train high-quality classification models. The choice of kernel parameters in the kernel function determines the m apping between the input space and the feature space and is crucial to the perfo rmance of the (SVM)-V-3.”
NanjingPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesNanjing University of Information Science and Technology (NUIST)
NETL
NSTL
