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Titlebook: India‘s Rise to Power in the Twentieth Century and Beyond; Sandy Gordon Book 1995 Palgrave Macmillan, a division of Macmillan Publishers L

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ribes an alternative approach based on a novel type of recurrent neural network, specifically designed for sequence labeling tasks where the data is hard to segment and contains long-range, bidirectional or multidirectional interdependencies. In experiments on two unconstrained handwriting databases
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Sandy Gordonng the SOM. In the specific case, we are going to discuss a variant of SOM where the similarity (and hence the proximity) among inputs and neurons is evaluated by way of Value at Risk, thus originating the VaRSOM that makes SOM more suitable to deal with financial time-series analysis.
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Sandy Gordone overall economic situation of Italian HFs, and we have observed the emergence of very surprising patterns, that, in our opinion, could be of help to policy makers in order to realize a more efficient allocation of financial resources among the existing HFs.
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Sandy Gordonxamples illustrate the design of a fitness function for optimizing classification accuracy in terms of the receiver operating characteristics of the classifier, the dependence of GA performance on its evolution parameters, and the design of a fitness function tailored to a specific classification ta
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Sandy Gordonrving the best possible balance between the two opposite requirements, that is, the use of the already-found best solutions and a possibly wide search of the solution domain. Genetic algorithms offer a compromise methodology, which eliminates many shortcomings of the two extreme approaches: traditio
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