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- W2391807254 abstract "Time and space complexity of traditional support vector machine is relevant to the number of samples,when the number of samples is large,there will be a great time and space use.This paper analyses support vector domain description algorithm aiming at one-class problem,then gives a simplified algorithm,which construct a separate minimum enclosing ball for each type of samples,not only re-duces the quadratic programming problem of complexity,and easy expansion.Simulation experiment results show that the algorithm re-duces the number of support vectors and debases the complexity of the algorithm." @default.
- W2391807254 created "2016-06-24" @default.
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- W2391807254 date "2009-01-01" @default.
- W2391807254 modified "2023-09-23" @default.
- W2391807254 title "A Study of Support Vector Machines Based on the Minimum Enclosing Ball" @default.
- W2391807254 hasPublicationYear "2009" @default.
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