Titlebook: Computational and Ambient Intelligence; 9th International Wo Francisco Sandoval,Alberto Prieto,Manuel Graña Conference proceedings 2007 Spr

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Seeing Science through Symmetry,optimization) and . (short-term optimization). .− . algorithm is a method using near-greedy action selection rule. It behaves greedily (.) most of the time, but every once in a while, say with small probability . (.), instead select an action at random. Many works already proved that random explorat

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https://doi.org/10.1007/BFb0109644ants of ., . and ., in order to build a robuster ensemble of neural networks. The mixed method called . (.) applies the conservative equation used in . along with the averaged procedure used in . in order to update the sampling distribution. We have tested the methods with seven databases from the .

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https://doi.org/10.1007/978-3-642-14828-6 of similarity to compare classifiers is based on their behaviour. This clustering algorithm has been applied to document enhancement: A set of neural filters is trained with multilayer perceptrons for different types of noise and then clustered into groups to obtain a reduced set of neural clustere

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exquisite

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