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COLT
2008
Springer
15 years 21 days ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
71
Voted
AROBOTS
2000
96views more  AROBOTS 2000»
14 years 10 months ago
Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity
As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate ...
Tucker R. Balch
69
Voted
ICML
2004
IEEE
15 years 11 months ago
An information theoretic analysis of maximum likelihood mixture estimation for exponential families
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...