Embedded Multi-label Feature Selection via Orthogonal Regression

no code implementations • 1 Mar 2024 • Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu

Additionally, both global feature redundancy and global label relevancy information have been considered in the orthogonal regression model, which could contribute to the search for discriminative and non-redundant feature subsets in the multi-label data.

feature selection Model Optimization +2

Supervised feature selection with orthogonal regression and feature weighting

no code implementations • 9 Oct 2019 • Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie

Effective features can improve the performance of a model, which can thus help us understand the characteristics and underlying structure of complex data.

feature selection regression