Learning Rates of Least-Square Regularized Regression

This paper considers the regularized learning algorithm associated with the least-square loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regression problem in learning theory. A novel regularization approach is presented, which yields satisfactory learning rates....

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Veröffentlicht in:	Foundations of computational mathematics 2006-04, Vol.6 (2), p.171-192
Hauptverfasser:	Wu, Qiang, Ying, Yiming, Zhou, Ding-Xuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Error analysis Hilbert space Least squares Measurement Regression analysis
Online-Zugang:	Volltext
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