Approximate kernel partial least squares

DOI10.1007/s10472-020-09694-3zbMath1477.68288OpenAlexW3014018632MaRDI QIDQ2023883

Xiling Liu, Shui-sheng Zhou

Publication date: 3 May 2021

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-020-09694-3

zbMATH Keywords

matrix approximationrandom Fourier featureskernel partial least squares (KPLS)randomized kernel partial least squares (RKPLS)

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• MNIST

Cites Work

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• Optimal learning rates for kernel partial least squares
• Approximation and dependence via multiteam semantics
• Matrix concentration inequalities via the method of exchangeable pairs
• 10.1162/15324430260185556
• The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
• On the structure of partial least squares regression
• Kernel partial least squares for stationary data
• A Statistical View of Some Chemometrics Regression Tools
• Learning Theory and Kernel Machines
• Theory of Reproducing Kernels

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