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BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
15 years 2 months ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
122
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WCNC
2010
IEEE
15 years 27 days ago
Interference Modeling for Cognitive Radio Networks with Power or Contention Control
—In this paper, we present an interference model for cognitive radio (CR) networks employing power control or contention control scheme. The probability density functions (PDFs) ...
Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, John ...
ICSEA
2006
IEEE
15 years 8 months ago
Testing a Network by Inferring Representative State Machines from Network Traces
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...
141
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JMLR
2010
202views more  JMLR 2010»
14 years 9 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
CSL
2007
Springer
15 years 2 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana