3143 search results - page 14 / 629 » Minimization of entropy functionals |
100
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IM
2006
15 years 1 months ago
2006
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
134
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
We survey a few concentration inequalities for submodular and fractionally subadditive functions of independent random variables, implied by the entropy method for self-bounding f...
114
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
111
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IWANN
2001
Springer
15 years 6 months ago
2001
Springer
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
TIT
1998
15 years 1 months ago
1998
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...