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» Minimization of entropy functionals
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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
14 years 2 months ago
Data Discretization Unification
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
Ruoming Jin, Yuri Breitbart, Chibuike Muoh
TCOM
2010
112views more  TCOM 2010»
13 years 4 months ago
Concise Derivation of Scattering Function from Channel Entropy Maximization
In order to provide a concise time-varying SISO channel model, the principle of maximum entropy is applied to scattering function derivation. The resulting model is driven by few p...
François-Xavier Socheleau, Christophe Laot,...
JMLR
2010
101views more  JMLR 2010»
13 years 5 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
AMC
2008
78views more  AMC 2008»
13 years 10 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer
CORR
2011
Springer
144views Education» more  CORR 2011»
13 years 5 months ago
On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function
— Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we ...
Mehdi Molkaraie, Payam Pakzad