Error Analysis on Hermite Learning with Gradient Data
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- 作者：Baohuai
- 所属单位：数理与信息工程学院
- 文献类型：期刊
- 发表时间：2018-01-01
- 发表刊物：数学年刊(B辑)(英文版)
- 卷号：第39卷
- 期号：第4期
- 页面范围：705-720
- Issn号：0252-9599
- 是否译文：否
- 关键字：HERMITE；学习；度数；功能价值；向量
- 摘要：This paper deals with Hermite 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 frame- work
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