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Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions., , and . Appl. Math. Comput., (2013)Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels., , , and . Frontiers Appl. Math. Stat., (2019)Adaptive Kernel Methods Using the Balancing Principle., , and . Found. Comput. Math., 10 (4): 455-479 (2010)Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions., , , and . Appl. Math. Comput., (2016)A meta-learning approach to the regularized learning - Case study: Blood glucose prediction., , and . Neural Networks, (2012)The balancing principle for parameter choice in distance-regularized domain adaptation., , , , , , , and . NeurIPS, page 20798-20811. (2021)A function approximation approach to the prediction of blood glucose levels., , and . CoRR, (2021)Adaptive learning of density ratios in RKHS., , and . CoRR, (2023)Optimization of Projection Methods for Solving Ill-Posed Problems.. Computing, 55 (2): 113-124 (1995)Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere., , and . SIAM J. Numer. Anal., 53 (2): 820-835 (2015)