Improving network generalization through selection of examples

In this work, we study how the selection of examples affects the learning procedure in a neural network and its relationship with the complexity of the function under study and its architecture. We focus on three different problems: parity, addition of two number and bitshifting implemented on feed...

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Detalles Bibliográficos
Autores principales: Cannas, Sergio A., Franco, Leonardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 1998
Materias:
Ciencias Informáticas
Informática
Neural nets
Network Architecture and Design
neural networks
machine learning
generalization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24820
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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