Chong ZhangDepartment of Statistics and Operations Research The University of North Carolina at Chapel Hill关注立即认领分享关注立即认领分享基本信息浏览量:16职业迁徙个人简介暂无内容研究兴趣论文共 14 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Multicategory Outcome Weighted Margin-Based Learning For Estimating Individualized Treatment RulesChong Zhang,Jingxiang Chen,Haoda Fu,Xuanyao He,Ying-Qi Zhao,Yufeng LiuSTATISTICA SINICA(2020)引用10浏览0WOS引用100Rejoinder of “Double sparsity kernel learning with automatic variable selection and data extraction”Jingxiang Chen,Chong Zhang,Michael Rene Kosorok,Yufeng LiuSTATISTICS AND ITS INTERFACE(2018)引用0浏览0引用00Double Sparsity Kernel Learning with Automatic Variable Selection and Data ExtractionJingxiang Chen,Chong Zhang,Michael R Kosorok,Yufeng LiuSTATISTICS AND ITS INTERFACE(2018)引用12浏览0WOS引用120On Reject and Refine Options in Multicategory ClassificationChong Zhang,Wenbo Wang,Xingye QiaoJOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION(2018)引用20浏览0引用200Robust multicategory support vector machines using difference convex algorithmChong Zhang,Minh Pham,Sheng Fu,Yufeng LiuMath. Program.(2017)引用17浏览0EIWOS引用170REC: fast sparse regression-based multicategory classificationChong Zhang,Xiaoling Lu,Zhengyuan Zhu,Yin Hu,Darshan Singh,Corbin D. Jones,Jinze Liu,Jan F. Prins,Yufeng LiuSTATISTICS AND ITS INTERFACE(2017)引用1浏览0引用10Comments on: Probability enhanced effective dimension reduction for classifying sparse functional dataChong Zhang,Yufeng LiuTest (Madrid, Spain)(2016)引用0浏览0WOS引用00Reinforced Angle-Based Multicategory Support Vector MachinesChong Zhang,Yufeng Liu,Junhui Wang,Hongtu ZhuJOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS(2016)引用17浏览0WOS引用170Multi-category Angle-based Classifier Refit Guo Xian Yau,Chong ZhangarXiv: Statistics Theory(2016)引用23浏览0引用230On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity ConstraintChong Zhang,Yufeng Liu,Yichao WuJOURNAL OF MACHINE LEARNING RESEARCH(2016)引用29浏览0WOSEI引用290加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn