%0 Conference Proceedings
%T MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing
%+ ITMO University [Russia]
%A Isaev, Ilya
%A Smetannikov, Ivan
%Z Part 7: Optimization-SVM (OPSVM)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Thessaloniki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%3 Artificial Intelligence Applications and Innovations
%V AICT-475
%P 341-347
%8 2016-09-16
%D 2016
%R 10.1007/978-3-319-44944-9_29
%K Feature selection
%K Variable selection
%K Attribute selection
%K Ensemble learning
%K Feature filters
%K Metrics aggregation
%K MeLiF
%K Parallel computing
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01557602/document
%2 https://inria.hal.science/hal-01557602/file/430537_1_En_29_Chapter.pdf
%L hal-01557602
%U https://inria.hal.science/hal-01557602
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-475