Findings from Gannan Normal University Yields New Data on Support Vector Machine s (Toward Effective Svm Sample Reduction Based On Fuzzy Membership Functions)
Findings from Gannan Normal University Yields New Data on Support Vector Machine s (Toward Effective Svm Sample Reduction Based On Fuzzy Membership Functions)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Support Vecto r Machines have been published. According tonews reporting originating in Ganzh ou, People’s Republic of China, by NewsRx journalists, research stated,“Support vector machine (SVM) is known for its good generalization performance and wide application invarious fields. Despite its success, the learning efficiency of S VM decreases significantly originating fromthe assumption that the number of tr aining samples increases rapidly.”
Key words
Ganzhou/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Mach ines/Gannan Normal University
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