Learning rates of least-square regularized regression with strongly mixing observation

Yongquan Zhang; Feilong Cao; Canwei Yan

doi:10.1007/s13042-011-0058-4

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Learning rates of least-square regularized regression with strongly mixing observation

Yongquan Zhang Feilong Cao Canwei Yan

Year: 2011 Journal: International Journal of Machine Learning and Cybernetics Vol: 3 (4)Pages: 277-283 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-011-0058-4

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Keywords:

Mixing (physics) Mathematics Regularization (linguistics) Exponential growth Generalization error Mean squared error Reproducing kernel Hilbert space Generalization Applied mathematics Hilbert space Square (algebra) Regression Sample size determination Statistics Mathematical analysis Artificial intelligence Computer science Artificial neural network Physics Geometry

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Numerical methods in inverse problems

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Learning rates of least-square regularized regression with strongly mixing observation

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