Feature Selection Using Zentropy-Based Uncertainty Measure
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2023.3347757
Abstract: Feature selection and entropy theory are two efficacious data analysis tools for investigating uncertainty information processing in artificial intelligence. The fruitful marriage of the two has been an active research topic in knowledge discovery. Currently,… read more here.
Keywords: uncertainty measure; zentropy based; feature selection; uncertainty ... See more keywords