Nonlinear Regression Estimation Using Subset-Based Kernel Principal Components
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DOI: 10.5705/ss.202016.0369
Abstract: We study the estimation of conditional mean regression functions through the so-called subset-based kernel principal component analysis (KPCA). Instead of using one global kernel feature space, we project a target function into different localized kernel… read more here.
Keywords: subset based; estimation; regression; based kernel ... See more keywords