Statistical performance of optimal scoring in reproducing kernel Hilbert spaces

DOI10.1016/j.jspi.2017.09.001zbMath1392.62167OpenAlexW2757512748MaRDI QIDQ680400

Heng Chen, Di-Rong Chen

Publication date: 23 January 2018

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2017.09.001

zbMATH Keywords

canonical correlation analysisreproducing kernel Hilbert spacelearning ratecross covariance operatoroptimal scoring

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Reproducing kernels: harmonic analysis and some of their applications ⋮ A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces ⋮ Estimations of singular functions of kernel cross-covariance operators ⋮ Simultaneous estimations of optimal directions and optimal transformations for functional data

Cites Work

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• Learning rate of support vector machine for ranking
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• Kernel dimension reduction in regression
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• Learning theory estimates via integral operators and their approximations
• Learning Theory
• Support Vector Machines
• ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY
• Algorithmic Learning Theory
• Theory of Reproducing Kernels

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