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» Improved learning of Bayesian networks
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BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba
WSC
2004
13 years 9 months ago
"One" a New Tool for Supply Chain Network Optimization and Simulation
Nowadays, in a hotly competitive environment, companies are continuously trying to provide products and/or services to customers faster, cheaper, and better than the competitors d...
Hongwei Ding, Lyès Benyoucef, Xiaolan Xie, ...
WIMOB
2008
IEEE
14 years 2 months ago
An Ad Hoc Network Infrastructure: Communication and Information Sharing for Emergency Response
— During an emergency response, access to a reliable communication infrastructure is required to exchange accurate information in a timely manner. Various communication technolog...
Raheleh B. Dilmaghani, Ramesh R. Rao
NIPS
1996
13 years 9 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
IJON
2002
154views more  IJON 2002»
13 years 8 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec