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...

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Bibliographic Details
Main Authors: Xiaobo Qi, Jinyu Song, Hui Qi, Ying Shi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10497591/