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Efficiency and Performance Analysis of a Sparse and Powerful Second Order SVM Based on LP and QP
2018
International Journal of Advanced Computer Science and Applications
Productivity analysis is done on the new algorithm "Second Order Support Vector Machine (SOSVM)", which could be thought as an offshoot of the popular SVM and based on its conventional QP version as well as the LP one. Our main goal is to produce a machine which is: 1) sparse & efficient; 2) powerful (kernel based) but not overfitted; 3) easily realizable. Experiments on benchmark data shows that to classify a new pattern, the proposed machine, SOSVM requires samples up to as little as 2.7% of
doi:10.14569/ijacsa.2018.090244
fatcat:epnusw4cardtvfowjcrdgkny5i