5866 search results - page 69 / 1174 » An e-Process Selection Model |
114
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
150
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BMEI
2009
IEEE
15 years 5 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
137
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CHI
2009
ACM
15 years 5 months ago
2009
ACM
In this paper, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory an...
131
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
143
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...