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Error Analysis on Hérmite Learning with Gradient Data
作者姓名:Baohuai SHENG  Jianli WANG  Daohong XIANG
摘    要:This paper deals with Hérmite learning which aims at obtaining the target function from the samples of function values and the gradient values. Error analysis is conducted for these algorithms by means of approaches from convex analysis in the framework of multi-task vector learning and the improved learning rates are derived.

收稿时间:2015/2/9 0:00:00
修稿时间:2016/5/28 0:00:00

Error Analysis on H\'{e}rmite Learning with Gradient Data
Baohuai SHENG,Jianli WANG,Daohong XIANG.Error Analysis on H\''{e}rmite Learning with Gradient Data[J].Chinese Annals of Mathematics,Series B,2018,39(4):705-720.
Authors:Baohuai SHENG  Jianli WANG and Daohong XIANG
Institution:1.Department of Mathematics,Shaoxing Univeristy,Shaoxing,China;2.Department of Mathematics,Zhejiang Normal University,Jinhua,China
Abstract:This paper deals with Hérmite learning which aims at obtaining the target function from the samples of function values and the gradient values. Error analysis is conducted for these algorithms by means of approaches from convex analysis in the framework of multi-task vector learning and the improved learning rates are derived.
Keywords:H''{e}rmite learning  Gradient learning  Learning rate  Convexanalysis  Multitask learning  Differentiable reproducing kernelHilbert space
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