Maximum Information Coefficient Feature Selection Method for Interval-Valued Data
The feature selection for interval-valued data (IVD) aims to identify representative features from a large set of features, which can reduce the model complexity, minimize the training time, and enhance the generalization ability of the model. Addressing the inter-feature correlations in IVD, we pro...
Main Authors: | Xiaobo Qi, Jinyu Song, Hui Qi, Ying Shi |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10497591/ |
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