Titlebook: Individual and Collective Choice and Social Welfare; Essays in Honor of N Constanze Binder,Giulio Codognato,Yongsheng Xu Book 2015 Springer

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Elisabeth GuglBiomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems..Part IV:

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nitial clustering step with the K-Nearest Neighbor (KNN) algorithm is proposed before training the result with a Recurrent Neural Network (RNN). The results of a preliminary application of the KNN phase before the RNN phase produces a quantitative and measureable improvement in the detection of outl

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Richard Sturnnitial clustering step with the K-Nearest Neighbor (KNN) algorithm is proposed before training the result with a Recurrent Neural Network (RNN). The results of a preliminary application of the KNN phase before the RNN phase produces a quantitative and measureable improvement in the detection of outl

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Constanze Binder,Giulio Codognato,Miriam Teschl,Yongsheng Xunot only advancing the traditional hard science disciplines, but also stretching beyond, with applications in the arts, humanities, media and all aspects of res978-3-642-01969-2978-3-642-01970-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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A Primer on Economic Choice Automatath independent choice functions it is possible to rank these semiautomata by the mathematical power required to implement a particular class of choice functions. This provides a means for ranking these machines by their “implementation complexity”. Dually, the computational complexity of constructin

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