MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing

Abstract : Search of algorithms ensemble – that is, best algorithms combination is common used approach in machine learning. MeLiF algorithm uses this technique for filter feature selection. In our research we proposed parallel version of this algorithm and showed that it is not only improves algorithm performance significantly, but also improves feature selection quality.
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Lazaros Iliadis; Ilias Maglogiannis. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology, AICT-475, pp.341-347, 2016, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-44944-9_29〉
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Ilya Isaev, Ivan Smetannikov. MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing. Lazaros Iliadis; Ilias Maglogiannis. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology, AICT-475, pp.341-347, 2016, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-44944-9_29〉. 〈hal-01557602〉

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