Massimo Battisti

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The paper addresses the problem of deening a neural system which combines pieces of independent information available in both the data and parameters spaces. The problem is approached in the framework of the probabilistic interpretation of neural modelling: in order to take into account the indetermination associated to the training process, a distribution(More)
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