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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 10 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
144
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GRID
2004
Springer
15 years 10 months ago
Dynamic Service Evolution for Open Languages in the Grid and Service Oriented Architecture
Dynamic behavior is inherent in virtual organizations. Semantics has to be processed to manage dynamism and other properties like state, life cycle, faults, and others. In our pap...
Thomas Weishäupl, Erich Schikuta
ICA
2004
Springer
15 years 10 months ago
Improving GRNNs in CAD Systems
Different Computer Aided Diagnosis (CAD) systems have been recently developed to detect microcalcifications (MCs) in digitalized mammography, among other techniques, applying Gen...
Fulgencio S. Buendía Buendía, J. Mig...
144
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ICANN
2003
Springer
15 years 9 months ago
Meta-learning for Fast Incremental Learning
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
ICANN
2009
Springer
15 years 9 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...