首页|New Findings from Guangdong University of Science and Technology in the Area of Support Vector Machines Described (Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions)
New Findings from Guangdong University of Science and Technology in the Area of Support Vector Machines Described (Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on is now available. Accor ding to news reporting from Dongguan,People’s Republic of China, by NewsRx jour nalists, research stated, “The kernel method is a tool that converts data to a k ernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.”
Guangdong University of Science and Tech nologyDongguanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachi ne LearningSupport Vector MachinesVector Machines
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