A Large Dimensional Analysis of Least Squares Support Vector Machines

作者: Zhenyu Liao , Romain Couillet

DOI: 10.1109/TSP.2018.2889954

关键词: Kernel (statistics)High-dimensional statisticsKernel methodLeast squaresMathematicsVariable kernel density estimationLeast squares support vector machineRadial basis function kernelMathematical optimizationApplied mathematicsPolynomial kernelSignal processingElectrical and Electronic Engineering

摘要: … to as kernel regularized least-squares estimator or kernel … equality optimization constraints instead of inequalities, which … by studying the asymptotic behavior of the decision function g(x…

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