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Microsoft
BigData: Probabilistic Methods for Efficient Search and Statistical Learning in Extremely High-Dimensional Data
This talk will present a series of work on probabilistic hashing methods which typically transform a challenging (or infeasible) massive data computational problem into a probability and statistical estimation problem. For example, fitting a logistic regression (or SVM) model on a dataset with billion observations and billion (or billion square ...
Nov 28, 2012
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