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» The complexity of approximating entropy
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CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 9 months ago
Mixing and non-mixing local minima of the entropy contrast for blind source separation
In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable a...
Frédéric Vrins, Dinh-Tuan Pham, Mich...
NECO
2010
97views more  NECO 2010»
13 years 8 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell
APPROX
2006
Springer
130views Algorithms» more  APPROX 2006»
14 years 1 months ago
Tight Results on Minimum Entropy Set Cover
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...
Jean Cardinal, Samuel Fiorini, Gwenaël Joret
ACL
1998
13 years 11 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
ICASSP
2011
IEEE
13 years 1 months ago
An efficient rank-deficient computation of the Principle of Relevant Information
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
Luis Gonzalo Sánchez Giraldo, José C...