Computer Science ›› 2008, Vol. 35 ›› Issue (12): 148-150.

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JIA Lei LIAO Shi-zhong (School of Computer Science and Technology,Tianjin University,Tianjin 300072,China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Support Vector Machines (SVM) provides an important approach to machine learning, pattern reorganization and data mining. Construction of kernel functions is the key both in SVM research and application. We proposed a combinatorial construction of hyperke

Key words: Kernel method, Hyperkernel function, Polynomial combination, Support vector machines

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