A Survey on Feature Selection

Author:

Miao Jianyu,Niu Lingfeng

Publisher

Elsevier BV

Subject

General Engineering

Reference40 articles.

1. Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach;Wolf;The Journal of Machine Learning Research,2005

2. Z. Zhao, H. Liu, Spectral feature selection for supervised and unsupervised learning, in: Proceedings of the 24th international conference on Machine learning, ACM, 2007, pp. 1151-1157.

3. Efficient and robust feature selection via joint?.2, 1-norms minimization;Nie;in: Advances in neural information processing systems,2010

4. Feature selection via least squares support feature machine;Li;International Journal of Information Technology & Decision Making,2007

5. Z. Zhao, H. Liu, Semi-supervised feature selection via spectral analysis., in: SDM, SIAM, 2007, pp. 641-646.

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