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Two new feature selection algorithms with rough sets theory
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Two new feature selection algorithms with rough sets theory
Caballero, Yailé et al · SEDICI UNLP · 2006
Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. Inside this one, the notion of reduct is a very significant one, but to obtain a reduct in a decision system is an expensi...
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Improving the k-NN method: rough set in edit training set
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Improving the k-NN method: rough set in edit training set
Caballero, Yailé et al · SEDICI UNLP · 2006
Rough Set Theory (RST) is a technique for data analysis. In this study, we use RST to improve the performance of k-NN method. The RST is used to edit and reduce the training set. We propose two methods to edit training s...
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An approach to solve scheduling problems with atrributes assoaciated to the activities
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An approach to solve scheduling problems with atrributes assoaciated to the activities
Ibáñez, Francisco S. et al · SEDICI UNLP · 2001
This paper shows an algorithm to deal with a scheduling problem that requires to deal with conditions related to the selections of activities and preferences for the selection of resources. The scheduling problem could ...
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Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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