首页|Researchers from North Minzu University Describe Findings in Support Vector Mach ines (A Novel Robust Generalized Eigenvalue Proximal Support Vector Machine for Pattern Classification)
Researchers from North Minzu University Describe Findings in Support Vector Mach ines (A Novel Robust Generalized Eigenvalue Proximal Support Vector Machine for Pattern Classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Support Vector Mac hines. According to news reporting originating inYinchuan, People’s Republic of China, by NewsRx journalists, research stated, “By minimizing the p-orderof L- 2-norm distance of the objection function of the improved generalized eigenvalue proxi- mal supportvector machine (IGEPSVM), the L-2,L-p-LIGEPSVM is proposed i n this paper. Firstly, the solution of theL-2,L-p-LIGEPSVM is demonstrated to b e related to the minimum eigenvalue of the correlation matrix,and an improved i nverse power method is devised to solve the L-2,L-p-LIGEPSVM.”
YinchuanPeople’s Republic of ChinaAs iaAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesNorth Minzu University
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