Learning rates of least-square regularized regression with polynomial kernels

Bingzheng Li; Guo-mao Wang

doi:10.1007/s11425-008-0137-5

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Learning rates of least-square regularized regression with polynomial kernels

Bingzheng Li Guo-mao Wang

Year: 2009 Journal: Science in China Series A Mathematics Vol: 52 (4)Pages: 687-700 Publisher: Springer Nature

DOI: 10.1007/s11425-008-0137-5

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Keywords:

Mathematics Polynomial regression Polynomial Reproducing kernel Hilbert space Hilbert space Regularization (linguistics) Square (algebra) Dimension (graph theory) Applied mathematics Kernel (algebra) Regression Discrete mathematics Mean squared error Kernel regression Regression analysis Combinatorics Statistics Mathematical analysis Artificial intelligence Computer science

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Mathematical Analysis and Transform Methods

Physical Sciences → Mathematics → Applied Mathematics

Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Learning rates of least-square regularized regression with polynomial kernels

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