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`N-Body' Problems in Statistical Learning

By Alexander G. Gray and Andrew W. Moore


We present efficient algorithms for all-point-pairs problems, or 'Nbody '-like problems, which are ubiquitous in statistical learning. We focus on six examples, including nearest-neighbor classification, kernel density estimation, outlier detection, and the two-point correlation

Year: 2001
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