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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| Published in: | Knowledge and information systems Vol. 67; no. 3; pp. 2019 - 2061 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Springer Nature B.V
01.03.2025
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| Subjects: | |
| ISSN: | 0219-1377, 0219-3116 |
| Online Access: | Get full text |
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