Learning Rates of Least-Square Regularized Regression

Qiang Wu; Yiming Ying; Ding‐Xuan Zhou

doi:10.1007/s10208-004-0155-9

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Learning Rates of Least-Square Regularized Regression

Qiang Wu Yiming Ying Ding‐Xuan Zhou

Year: 2005 Journal: Foundations of Computational Mathematics Vol: 6 (2)Pages: 171-192 Publisher: Springer Science+Business Media

DOI: 10.1007/s10208-004-0155-9

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Keywords:

Mathematics Reproducing kernel Hilbert space Representer theorem Kernel embedding of distributions Hilbert space Kernel (algebra) Bounded function Kernel regression Regularization (linguistics) Applied mathematics Mean squared error Square (algebra) Kernel method Regression Statistics Mathematical analysis Discrete mathematics Artificial intelligence Support vector machine Computer science Geometry

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Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

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