Author:
Yuan Aihong,Lin Lin,Tian Peiqi,Zhang Qinrong
Publisher
Springer Nature Singapore
Reference24 articles.
1. Atashgahi, Z., et al.: Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Mach. Learn. 111(1), 377–414 (2022)
2. Balın, M.F., Abid, A., Zou, J.: Concrete autoencoders: differentiable feature selection and reconstruction. In: Proceedings of the International Conference on Machine Learning, pp. 444–453 (2019)
3. Cai, D., Zhang, C., He, X.: Unsupervised feature selection for multi-cluster data. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 333–342 (2010)
4. Gong, X., Yu, L., Wang, J., Zhang, K., Bai, X., Pal, N.R.: Unsupervised feature selection via adaptive autoencoder with redundancy control. Neural Netw. 150, 87–101 (2022)
5. Gu, Q., Li, Z., Han, J.: Joint feature selection and subspace learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 1294–1299 (2011)