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106
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 8 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
99
Voted
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
15 years 6 months ago
A greedy algorithm for the identification of quantum systems
The control of quantum phenomena is a topic that has carried out many challenging problems. Among others, the Hamiltonian identification, i.e, the inverse problem associated with ...
Yvon Maday, Julien Salomon
130
Voted
ESANN
2006
15 years 4 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
128
Voted
NPL
2000
138views more  NPL 2000»
15 years 2 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
111
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Performance and robustness: A trade-off in dynamic signature verification
A performance and robustness study for on-line signature veri cation is presented. Experiments are carried out on the MCYT database comprising 16,500 signatures from 330 subjects,...
Javier Galbally, Julian Fiérrez, Javier Ort...