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KAIS
2007
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13 years 4 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
UAI
2003
13 years 6 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
UAI
2001
13 years 6 months ago
Multivariate Information Bottleneck
The Information bottleneck method is an unsupervised non-parametric data organization technique. Given a joint distribution
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali T...