263 search results - page 2 / 53 » Minimum Entropy Coloring |
CSB
2004
IEEE
13 years 10 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
APPROX
2006
Springer
13 years 10 months ago
2006
Springer
In the minimum entropy set cover problem, one is given a collection of k sets which collectively cover an n-element ground set. A feasible solution of the problem is a partition o...
TIT
2008
13 years 6 months ago
2008
Progressive encoding of a signal generally involves an estimation step, designed to reduce the entropy of the residual of an observation over the entropy of the observation itself....
UAI
2004
13 years 7 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...