返回信息流我校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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我校111学科创新引智基地专家学术讲座
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