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BMCBI
2007
215views more  BMCBI 2007»
14 years 11 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
MABS
1998
Springer
15 years 4 months ago
Multi-Agent Architecture Integrating Heterogeneous Models of Dynamical Processes: The Representation of Time
Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of lo...
Edem Fianyo, Jean-Pierre Treuil, Edith Perrier, Yv...
INFFUS
2007
107views more  INFFUS 2007»
14 years 11 months ago
An information fusion demonstrator for tactical intelligence processing in network-based defense
The Swedish Defence Research Agency (FOI) has developed a concept demonstrator called the Information Fusion Demonstrator 2003 (IFD03) for demonstrating information fusion methodo...
Simon Ahlberg, Pontus Hörling, Katarina Johan...
PE
2010
Springer
140views Optimization» more  PE 2010»
14 years 10 months ago
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes
We present the KPC-Toolbox, a library of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way based on the recently proposed Kro...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
ISNN
2010
Springer
14 years 10 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He