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» Learning Behavior Models for Hybrid Timed Systems
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GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 5 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
113
Voted
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 1 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
101
Voted
ICANN
2003
Springer
15 years 5 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
85
Voted
NIPS
2000
15 years 1 months ago
Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron
We have developed a silicon neuron that is inspired by a mathematical model of the leech heartbeat (HN) interneuron. The temporal and ionic current behaviors of this silicon neuro...
Mario F. Simoni, Gennady S. Cymbalyuk, Michael E. ...
ICFEM
2009
Springer
15 years 7 months ago
Qualitative Action Systems
An extension to action systems is presented facilitating the modeling of continuous behavior in the discrete domain. The original action system formalism has been developed by Back...
Bernhard K. Aichernig, Harald Brandl, Willibald Kr...