Sciweavers

744 search results - page 1 / 149
» Information-theoretic metric learning
Sort
View
COLT
2008
Springer
15 years 5 months 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
98
Voted
TDP
2010
99views more  TDP 2010»
14 years 10 months ago
An information theoretic approach for privacy metrics
Michele Bezzi
AROBOTS
2000
96views more  AROBOTS 2000»
15 years 3 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