Titlebook: Advances in Computational Intelligence; 15th International W Ignacio Rojas,Gonzalo Joya,Andreu Catala Conference proceedings 2019 Springer

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Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithmssights. .The .implementation. of subspace identification algorithms isdiscussed in terms of the robust and computationally efficient RQ andsingular value decompositions, which are well-established algorithmsfrom numerical linear algebra. The algorithms are implemented incombination with a whole set of classic978-1-4613-8061-0978-1-4613-0465-4

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0302-9743 g; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advanc978-3-030-20517-1978-3-030-20518-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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A Novel Framework for Fine Grained Action Recognition in Soccerd for welfare are considered as justifiable, whereas subsidies for the promotion of exports or state measures adopted for protectionist purposes are non-justifiable.  Lastly, the book addresses the implications978-3-319-87308-4978-3-319-62422-8

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,Elizabeth Gaskell’s Byronic Heroes: , and ,be more suitable to handle this form of misclassification. Thus, our proposal introduces the k-means approach and the SOM method, as complementary techniques to analyse the time series. The three techniques operating in tandem lead to a well performing solution to this diagnosis problem.

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https://doi.org/10.1007/978-1-349-05588-3ons. We then propose an approach to the problem based on the assumption that, in order to let numerosity emerge as disentangled factor of variation, we need to cancel out the sources of variation at graphical level.

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