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- W2982092489 endingPage "128" @default.
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- W2982092489 abstract "This chapter reviews the data reduction problem for instance and feature selection methods in the context of supervised classification. In the first part, instance and feature selections are studied separately. As instance and feature selection are not independent, algorithms dealing with simultaneous selection are then presented. To provide a comprehensible and tractable view of this field, the strategy was to start from the fundamental and original contributions go towards state-of-the-art algorithms, paying particular attention to large scale selections. Detailed pseudocodes of representative algorithms are given to consolidate the whole." @default.
- W2982092489 created "2019-11-01" @default.
- W2982092489 creator A5031342394 @default.
- W2982092489 creator A5038976846 @default.
- W2982092489 date "2019-10-27" @default.
- W2982092489 modified "2023-09-23" @default.
- W2982092489 title "From Supervised Instance and Feature Selection Algorithms to Dual Selection: A Review" @default.
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- W2982092489 doi "https://doi.org/10.1007/978-3-030-29349-9_4" @default.
- W2982092489 hasPublicationYear "2019" @default.
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