题 目：Variable Selection in High
Dimensional Data Analysis
时 间：2012年12月11日(周二)18:30
地 点：数学院第三报告厅
主讲人：夏璐(09统计)
摘 要：
Variable selection is the process of selecting a subset of relevant features for use in model construction, which is often used in analyzing high dimensional data. This lecture will serve as an introduction to relevant concepts and methods, with examples of numerical experiments included.
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