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Parallel Asynchronous Strategies for the Execution of Feature Selection Algorithms
International Journal of Parallel Programming, 2017Reducing the dimensionality of datasets is a fundamental step in the task of building a classification model. Feature selection is the process of selecting a smaller subset of features from the original one in order to enhance the performance of the classification model.
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Abstract The issue of monitoring the execution of asynchronous, distributed algorithms on loosely coupled parallel processor systems is important for the purposes of (i) detecting inconsistencies and flaws in the algorithm; (ii) obtaining important performance parameters for the algorithm; and (iii) developing a conceptual understanding of the ...
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