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    ESANN
    2008
    110views Neural Networks» more  ESANN 2008»
    A multiple testing procedure for input variable selection in neural networks
    13 years 9 months ago
    A multiple testing procedure for input variable selection in neural networks
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    In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
    Michele La Rocca, Cira Perna
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    ESANN
    2008
    143views Neural Networks» more  ESANN 2008»
    Computational model for amygdala neural networks
    13 years 9 months ago
    Computational model for amygdala neural networks
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    We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
    Jean Marc Salotti
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    ESANN
    2003
    113views Neural Networks» more  ESANN 2003»
    Neural Network Performances in Astronomical Image Processing
    13 years 9 months ago
    Neural Network Performances in Astronomical Image Processing
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    In this paper we use neural networks to verify the similarity of real astronomical images to predefined reference profiles. We use an innovative technique to encode images that a...
    Rossella Cancelliere, Mario Gai
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    ESANN
    2003
    124views Neural Networks» more  ESANN 2003»
    Mixture of Experts and Local-Global Neural Networks
    13 years 9 months ago
    Mixture of Experts and Local-Global Neural Networks
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    - In this paper we investigate mixture of experts problems in the context of Local-Global Neural Networks. This type of architecture was originaly conceived for functional approxim...
    Mayte Suárez-Fariñas, Carlos Eduardo...
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    IJCAI
    2003
    111views Artificial Intelligence» more  IJCAI 2003»
    Artificial Neural Network for Sequence Learning
    13 years 9 months ago
    Artificial Neural Network for Sequence Learning
    Download  dli.iiit.ac.in
    This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
    Sorin Moga, Philippe Gaussier
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