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GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 11 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
WSOM
2009
Springer
14 years 2 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
ISN
1995
Springer
109views Communications» more  ISN 1995»
13 years 11 months ago
Issues in the Integration of IN and TMN
Over recent years, the need to introduce rapidly new telecommunications services has led to the development of the Intelligent Network (IN). These services and the increasingly com...
George Pavlou, David Griffin
SOSP
2001
ACM
14 years 4 months ago
Mesh Based Content Routing using XML
We have developed a new approach for reliably multicasting timecritical data to heterogeneous clients over mesh-based overlay networks. To facilitate intelligent content pruning, ...
Alex C. Snoeren, Kenneth Conley, David K. Gifford
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 8 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer