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yh1122银河国际线上学术报告:Error Analysis of Weighted Generalized Distance Weighted Discrimination

发布日期:2020/11/24    点击:

报告题目:Error Analysis of Weighted Generalized Distance Weighted Discrimination

报告时间:20201128日(周六)下午14:30-15:30

会议地点:腾讯会议 ID927 150 579

点击下面链接入会,或添加至会议列表: https://meeting.tencent.com/s/Y4SONopTIWRF

主讲人:向道红教授

报告摘要: Though Generalized distance Weighted discrimination is an interesting approach in high dimension, it was designed for balanced data sets. In the case of unbalanced data sets we use a Weighted version of generalized Distance Weighted Discrimination. This article concerns the study of Weighted Generalized Distance Weighted Discrimination. Quantitative convergence analysis is provided.

报告人简介:
   
向道红,浙江师范大学数学系,教授,博导,德国洪堡学者,浙江省高校中青年学科带头人。主要从事统计机器学习理论、稳健统计等方面的研究。在《Journal of Machine Learning Research》、《Journal of Approximation Theory》、《Advances in Computational Mathematics》、《Journal of Multivariate Analysis》、《Science China Mathematics》等国内外学术刊物上发表论文多篇。主持完成国家自然科学基金3项。


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