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Titlebook: Intelligent Decision Technologies 2016; Proceedings of the 8 Ireneusz Czarnowski,Alfonso Mateos Caballero,Lakhm Conference proceedings 2016

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Gianfranco Lamperti,Giulio Quarenghing dargestellt wurde, wenden wir uns nun den Grundlagen einer vergleichenden Soziologie von Strukturen und Mechanismen städtischer Marginalisierung in Frankreich und den Vereinigten Staaten zu. Dieses Kapitel untersucht nicht die Substanz, sondern das . der rassialisierten urbanen Spannungen, die in
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Clique Editing to Support Case Versus Control Discriminationset (with no edge between the two sets). First, we present a theoretical result showing that the problem admits a polynomial-time approximation scheme. Then, motivated by the complexity of such an algorithm, we propose a genetic algorithm and we present an experimental analysis on simulated data.
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Solving Technician and Task Scheduling Problems with an Intelligent Decision Heuristictsourcing is a sub-problem of the ROADEF 2007 challenge, so computational experiments have been performed to evaluate various strategies of outsourcing to utilize the ID heuristic. Results obtained using the ID heuristic have been compared against other researchers who have tackled this problem.
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Maximum Lifetime Problem in Sensor Networks with Limited Channel Capacity optimal data transmission regarding considered the maximum lifetime problem we cannot allow for any interference of signals. For considered transmission model and the modified capacity formula we solve the maximum lifetime problem in one dimensional regular sensor network for both discussed data transmission services.
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A New Approach to a Derivation of a Priority Vector from an Interval Comparison Matrix in a Group AHom usual solutions of the problem based on linear programming methods or a decomposition of the interval comparison matrix into crisp matrices, followed by the eigenvalue method. This new approach is demonstrated on an example, and a comparison with a standard group AHP is provided as well.
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Intelligent Monitoring of Complex Discrete-Event Systemsis presented in this paper. Intelligence means that diagnosis does not require the naive reconstruction of the system behavior as a whole, which would be exponential with the number of components. Experiments show the effectiveness of the diagnosis technique.
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Grouping Like-Minded Users for Ratings’ Prediction different regression algorithms to build models and predict ratings. We evaluate our results against the SVD++ algorithm and validate the results by employing the MAE and RMSE measures. The obtained results show that the algorithm presented gives an improvement in the MAE and the RMSE of about 0.42 and 0.5201 respectively.
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