Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference52 articles.
1. Braytee, A., Liu, W., Catchpoole, D. R., & Kennedy, P. J. (2017). Multi-label feature selection using correlation information. In Proceedings of the 2017 ACM on conference on information and knowledge management (pp. 1649–1656).
2. Toward embedding-based multi-label feature selection with label and feature collaboration;Dai;Neural Computing and Applications,2023
3. Statistical comparisons of classifiers over multiple data sets;Demiar;Journal of Machine Learning Research,2006
4. Multiple graph unsupervised feature selection;Du;Signal Processing,2016
5. Manifold learning with structured subspace for multi-label feature selection;Fan;Pattern Recognition,2021