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» Modeling GA Performance for Control Parameter Optimization
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ESANN
2004
15 years 2 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
ICAC
2007
IEEE
15 years 7 months ago
Approximation Modeling for the Online Performance Management of Distributed Computing Systems
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
Dara Kusic, Nagarajan Kandasamy, Guofei Jiang
ICML
2007
IEEE
16 years 2 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
JHSN
2000
112views more  JHSN 2000»
15 years 1 months ago
A hierarchical Quality of Service control architecture for configurable multimedia applications
In order to achieve the best application-level Quality-of-Service (QoS), multimedia applications need to be dynamically tuned and reconfigured to adapt to fluctuating computing an...
Baochun Li, William Kalter, Klara Nahrstedt
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
15 years 6 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...