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Boosting(机器学习)
多元统计
计算机科学
分类器(UML)
人工智能
机器学习
特征选择
选择(遗传算法)
数据挖掘
模式识别(心理学)
数据库
作者
Yuhan Wu,Yingling Li,Ziao Wang,Qushan Tan,Jing Liu,Yinlong Jiang
标识
DOI:10.1142/s021819402450044x
摘要
International Journal of Software Engineering and Knowledge EngineeringAccepted Papers No AccessBoosting Commit Classification Based on Multivariate Mixed Features and Heterogeneous Classifier SelectionYuhan Wu, Yingling Li, Ziao Wang, Qushan Tan, Jing Liu, and Yuao JiangYuhan Wu, Yingling Lihttps://orcid.org/0009-0006-1384-1388 Search for more papers by this author , Ziao Wang Search for more papers by this author , Qushan Tan Search for more papers by this author , Jing Liu Search for more papers by this author , and Yuao Jiang Search for more papers by this author https://doi.org/10.1142/S021819402450044XCited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles in C++ Programming! FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 23 September 2023 Accepted 2 August 2024 PDF download
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