FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897301007> ?p ?o ?g. }

• W2897301007 endingPage "85" @default.
• W2897301007 startingPage "67" @default.
• W2897301007 abstract "Feature selection is an important data preprocessing method. This paper studies a new multi-objective feature selection approach, called the Binary Differential Evolution with self-learning (MOFS-BDE). Three new operators are proposed and embedded into the MOFS-BDE to improve its performance. The novel binary mutation operator based on probability difference can guide individuals to rapidly locate potentially optimal areas, the developed One-bit Purifying Search operator (OPS) can improve the self-learning capability of the elite individuals located in the optimal areas, and the efficient non-dominated sorting operator with crowding distance can reduce the computational complexity of the selection operator in the differential evolution. Experimental results on a series of public datasets show that the effective combination of the binary mutation and OPS makes our MOFS-BDE achieve a trade-off between local exploitation and global exploration. The proposed method is competitive in comparison with some representative genetic algorithm-, particle swarm-, differential evolution-, and artificial bee colony-based feature selection algorithms." @default.
• W2897301007 created "2018-10-26" @default.
• W2897301007 creator A5003491781 @default.
• W2897301007 creator A5013598163 @default.
• W2897301007 creator A5051080913 @default.
• W2897301007 creator A5063627915 @default.
• W2897301007 creator A5089825870 @default.
• W2897301007 date "2020-01-01" @default.
• W2897301007 modified "2023-10-14" @default.
• W2897301007 title "Binary differential evolution with self-learning for multi-objective feature selection" @default.
• W2897301007 cites W1418108976 @default.
• W2897301007 cites W1833634424 @default.
• W2897301007 cites W1964537798 @default.
• W2897301007 cites W1970032027 @default.
• W2897301007 cites W1970769764 @default.
• W2897301007 cites W2013885787 @default.
• W2897301007 cites W2027425155 @default.
• W2897301007 cites W2058118608 @default.
• W2897301007 cites W2069928051 @default.
• W2897301007 cites W2070556583 @default.
• W2897301007 cites W2083945868 @default.
• W2897301007 cites W2093010752 @default.
• W2897301007 cites W2105223996 @default.
• W2897301007 cites W2106334424 @default.
• W2897301007 cites W2126105956 @default.
• W2897301007 cites W2131090729 @default.
• W2897301007 cites W2143381319 @default.
• W2897301007 cites W2156194072 @default.
• W2897301007 cites W2165885026 @default.
• W2897301007 cites W2210287443 @default.
• W2897301007 cites W2254043540 @default.
• W2897301007 cites W2343420905 @default.
• W2897301007 cites W2411885377 @default.
• W2897301007 cites W2561576489 @default.
• W2897301007 cites W2588659412 @default.
• W2897301007 cites W2593421093 @default.
• W2897301007 cites W2604772753 @default.
• W2897301007 cites W2616650140 @default.
• W2897301007 cites W2724365251 @default.
• W2897301007 cites W2736583283 @default.
• W2897301007 cites W2739135567 @default.
• W2897301007 cites W2742990887 @default.
• W2897301007 cites W2745573163 @default.
• W2897301007 cites W2754840697 @default.
• W2897301007 cites W2757662287 @default.
• W2897301007 cites W2765937321 @default.
• W2897301007 cites W2776226778 @default.
• W2897301007 cites W2790793279 @default.
• W2897301007 cites W2791239441 @default.
• W2897301007 cites W2801536506 @default.
• W2897301007 cites W2932046728 @default.
• W2897301007 cites W2945163040 @default.
• W2897301007 cites W2953877793 @default.
• W2897301007 doi "https://doi.org/10.1016/j.ins.2019.08.040" @default.
• W2897301007 hasPublicationYear "2020" @default.
• W2897301007 type Work @default.
• W2897301007 sameAs 2897301007 @default.
• W2897301007 citedByCount "253" @default.
• W2897301007 countsByYear W28973010072019 @default.
• W2897301007 countsByYear W28973010072020 @default.
• W2897301007 countsByYear W28973010072021 @default.
• W2897301007 countsByYear W28973010072022 @default.
• W2897301007 countsByYear W28973010072023 @default.
• W2897301007 crossrefType "journal-article" @default.
• W2897301007 hasAuthorship W2897301007A5003491781 @default.
• W2897301007 hasAuthorship W2897301007A5013598163 @default.
• W2897301007 hasAuthorship W2897301007A5051080913 @default.
• W2897301007 hasAuthorship W2897301007A5063627915 @default.
• W2897301007 hasAuthorship W2897301007A5089825870 @default.
• W2897301007 hasConcept C104317684 @default.
• W2897301007 hasConcept C111696304 @default.
• W2897301007 hasConcept C11413529 @default.
• W2897301007 hasConcept C119857082 @default.
• W2897301007 hasConcept C124101348 @default.
• W2897301007 hasConcept C126255220 @default.
• W2897301007 hasConcept C138885662 @default.
• W2897301007 hasConcept C148483581 @default.
• W2897301007 hasConcept C153180895 @default.
• W2897301007 hasConcept C154945302 @default.
• W2897301007 hasConcept C158448853 @default.
• W2897301007 hasConcept C17020691 @default.
• W2897301007 hasConcept C185592680 @default.
• W2897301007 hasConcept C2776401178 @default.
• W2897301007 hasConcept C33923547 @default.
• W2897301007 hasConcept C41008148 @default.
• W2897301007 hasConcept C41895202 @default.
• W2897301007 hasConcept C48372109 @default.
• W2897301007 hasConcept C501734568 @default.
• W2897301007 hasConcept C55493867 @default.
• W2897301007 hasConcept C74750220 @default.
• W2897301007 hasConcept C81917197 @default.
• W2897301007 hasConcept C85617194 @default.
• W2897301007 hasConcept C86339819 @default.
• W2897301007 hasConcept C94375191 @default.
• W2897301007 hasConceptScore W2897301007C104317684 @default.
• W2897301007 hasConceptScore W2897301007C111696304 @default.
• W2897301007 hasConceptScore W2897301007C11413529 @default.
• W2897301007 hasConceptScore W2897301007C119857082 @default.

• next