Finite rank kernels for multi-task learning

DOI10.1007/s10444-011-9244-xzbMath1267.41003OpenAlexW1995431478MaRDI QIDQ1946523

Rui Wang, Yuesheng Xu, Jianqiang Liu, Charles A. Micchelli

Publication date: 15 April 2013

Published in: Advances in Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10444-011-9244-x

zbMATH Keywords

Weierstrass approximation theoremcharacteristic operatorcontinuous kernel extensionmulti-task polynomial kernels

Mathematics Subject Classification ID

Interpolation in approximation theory (41A05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Approximation by polynomials (41A10)

Related Items (2)

Optimal sampling points in reproducing kernel Hilbert spaces ⋮ Regularization in a functional reproducing kernel Hilbert space

Cites Work

• Learning rates for regularized classifiers using multivariate polynomial kernels
• Convex multi-task feature learning
• Support-vector networks
• 10.1162/153244304322765658
• On Learning Vector-Valued Functions
• Theory of Reproducing Kernels
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