17543 search results - page 167 / 3509 » Stochastic Optimization Algorithms |
171
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IJCNN
2007
IEEE
16 years 22 days ago
2007
IEEE
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
163
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GECCO
2007
Springer
16 years 17 days ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
179
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GECCO
2005
Springer
15 years 12 months ago
2005
Springer
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
170
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ICIP
1995
IEEE
16 years 7 months ago
1995
IEEE
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
184
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GECCO
2010
Springer
15 years 8 months ago
2010
Springer
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)Evolution-Strategies (ESs) with the aim of designing fast and robus...