1704 search results - page 275 / 341 » Learning nonlinear dynamic models |
ICFCA
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In the past years Software Engineering has experienced several difficulties in modularising crosscutting aspects, like shared, dynamic or scattered behavior of object-ori...
111
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KI
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
104
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NECO
2008
14 years 11 months ago
2008
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
EUROCAST
2003
Springer
15 years 4 months ago
2003
Springer
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
103
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CEC
2009
IEEE
15 years 2 months ago
2009
IEEE
In evolutionary robotics, controllers are often designed in simulation, then transferred onto the real system. Nevertheless, when no accurate model is available, controller transfe...