Generalization Error Estimation and Filtering Algorithm for Regression with Noisy LabelsChinese Full TextEnglish Full Text (MT)
JIANG Gaoxia;LI Zhengying;WANG Wenjian;School of Computer and Information Technology, Shanxi University;Key Laboratory of Computational Intelligence and Chinese Information Processing, Shanxi University, Ministry of Education;
Abstract: When there exists numerical label noise in regression, traditional generalization error estimation methods become inapplicable.And it could rarely guarantee the generalization performance of the regression model.In this paper, a generalization error estimation method is proposed for the regression model on label noise, following which an adaptive Gaussian kernel noise estimator and sample recall filtering(AGKSRF)algorithm is designed.Based on the proposed Craven-Wahba(CW)generalization error est... More
Keywords:
regression with noisy labels; generalization error estimation; adaptive Gaussian kernel estimator; sample recall filtering;
- DOI:
10.20009/j.cnki.21-1106/TP.2023-0422
- Series:
(I) Electronic Technology & Information Science
- Subject:
Computer Software and Application of Computer
- Classification Code:
TP391.41
- Mobile Reading
Read on your phone instantly
Step 1
Scan QR Codes
"Mobile CNKI-CNKI Express" App
Step 2
Open“CNKI Express”
and click the scan icon in the upper left corner of the homepage.
Step 3
Scan QR Codes
Read this article on your phone.
- Download
- Online Reading
- BETABETAEnglish HTML (MT)
- AI Summary

Download the mobile appuse the app to scan this coderead the article.
Tips: Please download CAJViewer to view CAJ format full text.
Download: 156 Page: 72-80 Pagecount: 9 Size: 895K
Citation Network
Related Literature
- Similar Article
- Reader Recommendation
- Associated Author
- [1]改进的局部泛化误差模型及其在特征选择中的应用[J]. 马艳东. 中国科技信息. 2015(10)
- [2]泛化误差界指导的鉴别字典学习[J]. 徐涛,王晓明. 计算机应用. 2019(04)
- [3]支持向量机泛化能力估计若干方法[J]. 宋晓峰,陈德钊,胡上序. 计算机科学. 2004(08)
- [4]改进的并行随机森林算法及其包外估计[J]. 钱雪忠,秦静,宋威. 计算机应用研究. 2018(06)
- [5]人脸特征选择中的SVM泛化误差估计[J]. 李伟红,龚卫国,杨利平,辜小花. 光学精密工程. 2008(08)
- [6]考虑标签情绪信息的图书资源个性化推荐方法研究[J]. 马晓悦,马昊. 情报理论与实践. 2020(09)
- [7]基于标签与协同过滤算法的学术资源推荐系统的构建[J]. 钟克吟. 图书馆理论与实践. 2014(09)
- [8]基于标签与协同过滤算法的淘书吧应用[J]. 徐彬,张建明. 电子设计工程. 2014(23)