348 citations · 977 across the 19 of their papers we have counts for
Showing 2013 · cs.LGShow all
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cs.LG2013★ 6 cited
The Anchors Hierachy: Using the triangle inequality to survive high dimensional data
Andrew Moore
This paper is about metric data structures in high-dimensional or non-Euclidean space that permit cached sufficient statistics accelerations of learning algorithms. It has recently…
cs.LG2013
Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables
Scott Davies, Andrew Moore
Recently developed techniques have made it possible to quickly learn accurate probability density functions from data in low-dimensional continuous space. In particular, mixtures o…