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这是一条镜像帖。来源:北邮人论坛 / byr-bulletin / #1660同步于 2009/6/3
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我校111学科创新引智基地专家学术讲座

ZhangZhenRen
2009/6/3镜像同步0 回复
我校111学科创新引智基地专家 学术报告通知 报告题目:Data Imbalance: When It Becomes a "Pain" and How to "Ease" It(数据失 衡:产生的原因及对策) 主讲人:Professor Charles Ling (Director, Data Mining and E-Business Lab, Depar tment of Computer Science, University of Western Ontario, Canada) 时间:2009年6月8日(星期一)下午13:30-15:00 地点:教三楼136报告厅 内容:Data imbalance occurs in almost all data mining and machine learning appl ications. In this talk I will first discuss and survey different situations whe re data imbalance becomes a serious problem ("pain"). Various methods have been proposed, but what are the capacity and limitations of various learning algori thms? We use PAC-learning to study these issues. We derive several bounds on th e sample size that guarantee the overall error rate and the error rate of the r are class. 此报告为前沿技术讲座,欢迎全校师生踊跃参加。 校学术委员会 计算机学院 2009年6月3日
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