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GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
13 years 11 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
13 years 11 months ago
A hybrid GA for a supply chain production planning problem
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...
Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
13 years 11 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
AAAI
2007
13 years 7 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
CASES
2003
ACM
13 years 10 months ago
Encryption overhead in embedded systems and sensor network nodes: modeling and analysis
Recent research in sensor networks has raised issues of security for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices...
Ramnath Venugopalan, Prasanth Ganesan, Pushkin Ped...