Semi-supervised Feature Selection via Rescaled Linear Regression

@inproceedings{Chen2017SemisupervisedFS,
  title={Semi-supervised Feature Selection via Rescaled Linear Regression},
  author={Xiaojun Chen and Guowen Yuan and Feiping Nie and Joshua Zhexue Huang},
  booktitle={IJCAI},
  year={2017}
}
With the rapid increase of complex and highdimensional sparse data, demands for new methods to select features by exploiting both labeled and unlabeled data have increased. Least regression based feature selection methods usually learn a projection matrix and evaluate the importances of features using the projection matrix, which is lack of theoretical explanation. Moreover, these methods cannot find both global and sparse solution of the projection matrix. In this paper, we propose a novel… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 34 references

and Xiaofang Zhou

Yi Yang, Heng Tao Shen, Zhigang Ma, Zi Huang
l2,1-norm regularized discriminative feature selection for unsupervised learning. In International Joint Conference on Artificial Intelligence, pages 1589–1594, • 2011
View 5 Excerpts
Highly Influenced

H

J. Xu, B. Tang
He, and H.Man. Semisupervised feature selection based on relevance and redundancy criteria. IEEE Transactions on Neural Networks and Learning Systems, PP(99):1–11 • 2016
View 3 Excerpts

IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.

IEEE transactions on neural networks and learning systems • 2016
View 2 Excerpts

27(10):2743–2755

D. Wang, F. Nie, H. Huang. Feature selection via global redundancy min Knowledge, Data Engineering
Oct • 2015
View 1 Excerpt

Feature Selection via Global Redundancy Minimization

IEEE Transactions on Knowledge and Data Engineering • 2015

Supervised feature selection: A tutorial

Artif. Intell. Research • 2015
View 1 Excerpt

In Twenty-Eighth AAAI Conference on Artificial Intelligence

Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang. A convex formulation for semisupervised mul selection
pages 1171– 1177, • 2014
View 1 Excerpt

pages 977–982

Lei Shi, Liang Du, Yi-Dong Shen. Robust spectral learning for unsupervised fe Mining
Dec • 2014
View 1 Excerpt

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