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» Learning patterns in the dynamics of biological networks
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BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
WCE
2007
13 years 9 months ago
Dynamic Behaviour and Significance of Neuron Networks with Varying Degrees of Random Coupling
—Networks of coupled dynamical systems exhibit many interesting behaviours such as spatio-temporal chaos, pattern formation and synchronization. Such networks can be used to mode...
Bijilash Babu, Marissa Condon
RECOMB
2007
Springer
14 years 8 months ago
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
Yuhong Guo, Dale Schuurmans
ATAL
2004
Springer
14 years 1 months ago
Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to conf...
H. Van Dyke Parunak, Sven Brueckner
ATAL
2004
Springer
14 years 1 months ago
Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ abilit...
H. Van Dyke Parunak, Sven Brueckner