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cs.LG2014
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
Jun Fan, Ting Hu, Qiang Wu +1
In this paper we study the consistency of an empirical minimum error entropy (MEE) algorithm in a regression setting. We introduce two types of consistency. The error entropy consi…
stat.ML2014
Learning rates for the risk of kernel based quantile regression estimators in additive models
Andreas Christmann, Ding-Xuan Zhou
Additive models play an important role in semiparametric statistics. This paper gives learning rates for regularized kernel based methods for additive models. These learning rates…