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» Pseudorandom numbers and entropy conditions
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TCBB
2010
176views more  TCBB 2010»
13 years 8 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
EUROCAST
2007
Springer
104views Hardware» more  EUROCAST 2007»
14 years 4 months ago
Entropy-Based Modeling and Simulation of Evolution in Biological Systems
Abstract. We report computer-aided modeling and simulation of evolution in biological systems with living organisms as effect of extremum properties of classical statistical entro...
Stanislaw Sieniutycz
CORR
2007
Springer
140views Education» more  CORR 2007»
13 years 9 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
DCC
2005
IEEE
14 years 9 months ago
Efficient Alphabet Partitioning Algorithms for Low-Complexity Entropy Coding
We analyze the technique for reducing the complexity of entropy coding consisting in the a priori grouping of the source alphabet symbols, and in dividing the coding process in tw...
Amir Said
TIT
1998
102views more  TIT 1998»
13 years 9 months ago
On Characterization of Entropy Function via Information Inequalities
—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...
Zhen Zhang, Raymond W. Yeung