报告题目： Robustness in dimensionality reduction

报告人：梁嘉熹（加拿大滑铁卢大学统计系 ）

时    间：2013年9月5日下午3点30分
地    点：数计学院6号楼309室

Abstract: Dimension reduction is an important and popular topic in statistical learning. Lots of algorithms are proposed, but the quality assessment and robustness of the methods are still open questions. We introduce a rank-based correlation to deal with these questions.

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