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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
15 years 10 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
77
Voted
KAIS
2008
81views more  KAIS 2008»
14 years 10 months ago
Maximum entropy based significance of itemsets
We consider the problem of defining the significance of an itemset. We say that the itemset is significant if we are surprised by its frequency when compared to the frequencies of ...
Nikolaj Tatti
99
Voted
ICPR
2002
IEEE
15 years 11 months ago
Entropy Estimation and Multiscale Processing in Meteorological Satellite Images
A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the det...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
NIPS
2001
14 years 11 months ago
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
Anand Rangarajan, Alan L. Yuille
77
Voted
AICOM
2008
146views more  AICOM 2008»
14 years 10 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo