Learning with Kernels Support Vector Machines

Advanced glycation end products (AGEs) are a complex and heterogeneous group of compounds that have

In order to improve the generalization performance of support vector regression (SVR), we propose a

By applying support vector regression, the modeling data of rice leaves collected in our study were

Incremental support vector machine combined with ultraviolet-visible spectroscopy for rapid discrimi

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支持向量机入门讲义，透视支持向量机的底层原理。

NovelComputerizedMethodBasedonSupportVectorMachineforTongueDiagnosis

TheSupportVectorMachineisapowerfulnewlearningalgorithmforsolvingavarietyoflearningandfunctionestimat

Laplacian twin support vector machine for semi-supervised classificationn

Alex Smola et al.A tutorial on support vector regression.Statistics and Computing,2004 In this tutor