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Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements
DownloadFall 2016
In an increasingly data-driven society, there is a growing need to simplify high-dimensional data sets. Over the course of the past three decades, the Johnson and Lindenstrauss (JL) lemma has evolved from a highly abstract mathematical result into a useful tool for dealing with data sets of...
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Fall 2010
A well known result in probability is that convergence almost surely (a.s.) of a sequence of random elements implies weak convergence of their laws. The Ukrainian mathematician Anatoliy Volodymyrovych Skorohod proved the lemma known as Skorohod’s a.s. representation Theorem, a partial converse of...