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ICANN
2009
Springer
14 years 2 days ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
AOSD
2009
ACM
13 years 10 months ago
Modular verification of dynamically adaptive systems
Cyber-physical systems increasingly rely on dynamically adaptive programs to respond to changes in their physical environment; examples include ecosystem monitoring and disaster r...
Ji Zhang, Heather Goldsby, Betty H. C. Cheng
PERVASIVE
2011
Springer
12 years 10 months ago
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Salvatore Scellato, Mirco Musolesi, Cecilia Mascol...
HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
14 years 1 months ago
Stochastic Model for Power Grid Dynamics
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
Marian Anghel, Kenneth A. Werley, Adilson E. Motte...
MPC
2010
Springer
181views Mathematics» more  MPC 2010»
14 years 7 days ago
Process Algebras for Collective Dynamics
d Abstract) Jane Hillston Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland Quantitative Analysis Stochastic process algebras extend classical p...
Jane Hillston