Complex Support Vector Machines for Regression and Quaternary Classification.

IEEE Transactions on Neural Networks and Learning Systems(2015)

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摘要
The paper presents a new framework for complex support vector regression (SVR) as well as Support Vector Machines (SVM) for quaternary classification. The method exploits the notion of widely linear estimation to model the input-out relation for complex-valued data and considers two cases: 1) the complex data are split into their real and imaginary parts and a typical real kernel is employed to ma...
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关键词
Kernel,Support vector machines,Estimation,Calculus,Hilbert space,Vectors
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