144 search results - page 5 / 29 » Training approaches in neural enhancement for multiobjective... |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
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SBRN
2000
IEEE
15 years 1 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
CIDM
2009
IEEE
15 years 4 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
139
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HIS
2001
14 years 10 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...