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时间：本周五，上午，10:30-12:00
地点：清华大学FIT楼1区415会议室
>title: Training support vector machines: status and challenges
>
>Speaker: Chih-Jen Lin. Professor. Department of Computer Science. National
>Taiwan University.
>
>Time: 2008-09-05 (Friday) 10:30-12:00 a.m.
>Location: Rm 1-415, FIT Building, Tsinghua University (清华大学FIT楼1-415)
>
>Host: Department of Computer sceicne and Technology, Tsinghua University
>Contact: Dr. Jie Tang
>
>abstract:
>
>Support vector machines (SVM) are a popular technique for data
>classification and regression. Its training involves several computationally
>expensive procedures such as solving optimization problems and conducting
>parameter selection. In this talk, we show past work and our experiences on
>addressing these issues. We then discuss future challenges in handling
>large data.
>
>
>bio:
>
>Chih-Jen Lin is currently a professor in the Department of Computer Science
>at National Taiwan University. His research interests include machine
>learning, data mining, and related applications. He is best known for his
>work on Support Vector Machines (SVMs), a supervised learning technique.
>His LIBSVM is one of the most widely used implementation of SVMs.
这是一条镜像帖。来源：北邮人论坛 / ml-dm / #3050同步于 2008/9/3
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ML_DM机器人发帖
libSVM作者Prof. Lin的讲座
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