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Learning rates for regularized classifiers using multivariate polynomial kernels.

, , and . J. Complex., 24 (5-6): 619-631 (2008)

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Construction of Smooth Refinable Function Vectors by Cascade Algorithms.. SIAM J. Numerical Analysis, 40 (4): 1354-1368 (2002)Partially-Linear Least-Squares Regularized Regression for System Identification., and . IEEE Trans. Automat. Contr., 54 (11): 2637-2641 (2009)Learning with Convex Loss and Indefinite Kernels., , and . Neural Comput., 26 (1): 158-184 (2014)Least Square Regression with lp-Coefficient Regularization., , and . Neural Comput., 22 (12): 3221-3235 (2010)Learning Rates for l1-Regularized Kernel Classifiers., , and . J. Appl. Math., (2013)Learning Rates of Regularized Regression for Functional Data., and . Int. J. Wavelets Multiresolution Inf. Process., 7 (6): 839-850 (2009)Learning rates of regularized regression for exponentially strongly mixing sequence, and . Journal of Statistical Planning and Inference, 138 (7): 2180--2189 (Jul 1, 2008)Interpretable Functional Logistic Regression., and . CSAE, page 82:1-82:5. ACM, (2018)Framelet block thresholding estimator for sparse functional data., , and . J. Multivar. Anal., (2022)Wavelet Denoising for Differential Operator., , and . CSC, page 111-117. CSREA Press, (2008)