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Titlebook: Learning and Intelligent Optimization; 14th International C Ilias S. Kotsireas,Panos M. Pardalos Conference proceedings 2020 Springer Natur

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On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean his problem is proposed. The algorithm has a pseudo-polynomial time complexity in the special case of the problem, where the dimension of the space is bounded from above by a constant and the input data are integer.
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Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm,r discrete data, to perform the prediction. In this paper, we apply various discretization techniques on VOCs data, and we analyze their impact on the performance results of MOCA-I. The experiments show that the discretization of the VOCs strongly impacts the classification task and has to be carefully chosen according to the evaluation criterion.
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A Class of Linear Programs Solvable by Coordinate-Wise Minimization,ima. Though the presented LP relaxations can be solved by more efficient methods (such as max-flow), our results are theoretically non-trivial and can lead to new large-scale optimization algorithms in the future.
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Conference proceedings 2020 process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components...Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. .
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