Minimum description length quality measurues for modular functional network architectures

Modular neural networks (MNNs) are increasingly popular models for dealing with complex problems constituted by a number of dependent subtasks. An important problem on MNNs is finding the optimal aggregation of the neural modules, each of them dealing with one of the subproblems. In this paper, we p...

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Detalles Bibliográficos
Autores principales: Cofiño, Antonio S., Gutiérrez, José Manuel, Ivanissevich, María Laura
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2001
Materias:
Ciencias Informáticas
functional networks
modular systems
model selection methods
time series prediction
Neural nets
Architectures
ARTIFICIAL INTELLIGENCE
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23399
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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