Quantum computing and quantum-inspired techniques for feature subset selection: a review

Feature subset selection is essential for identifying relevant and non-redundant features, which enhances classification accuracy and simplifies machine learning models. Given the computational difficulties of determining optimal feature subsets, heuristic and metaheuristic algorithms have been wide...

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Vydané v:	Knowledge and information systems Ročník 67; číslo 3; s. 2019 - 2061
Hlavní autori:	Mandal, Ashis Kumar, Chakraborty, Basabi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer Nature B.V 01.03.2025
Predmet:	Algorithms Heuristic methods Machine learning Quantum computing
ISSN:	0219-1377, 0219-3116
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