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BMCBI
2005
156views more  BMCBI 2005»
15 years 1 months ago
A new dynamical layout algorithm for complex biochemical reaction networks
Background: To study complex biochemical reaction networks in living cells researchers more and more rely on databases and computational methods. In order to facilitate computatio...
Katja Wegner, Ursula Kummer
ICASSP
2007
IEEE
15 years 8 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
131
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JMLR
2006
169views more  JMLR 2006»
15 years 1 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
BMCBI
2006
146views more  BMCBI 2006»
15 years 1 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
PDP
2007
IEEE
15 years 8 months ago
RealPeer--A Framework for Simulation-Based Development of Peer-to-Peer Systems
In the process of developing P2P systems simulation has proved to be an essential tool for the evaluation of existing and conceived P2P systems. So far, in practice there has been...
Dieter Hildebrandt, Ludger Bischofs, Wilhelm Hasse...