A Semi-supervised Classification Using Gated Linear Model

Yanni Ren, Weite Li, Jinglu Hu

研究成果: Conference contribution

抄録

Semi-supervised learning aims to construct a classifier by making use of both labeled data and unlabeled data. This paper proposes a semi-supervised classification method using a gated linear model, based on the idea of effectively utilizing manifold information. A gating mechanism is firstly trained in a semi-supervised manner to capture manifold information which guides the generation of gate signals. Then the gated linear model is formulated into a linear regression form with the gate signals included. Secondly, a Laplacian regularized least squares (LapRLS) formulation is applied to optimize the linear regression form of the gated linear model. In this way, the gate signals are integrated into the kernel function, which is defined as inner product of the regression vectors. Moreover, this kernel function is used as a better similarity function for graph construction. As a result, the manifold information is ingeniously incorporated into both kernel and graph Laplacian in the LapRLS. Experimental results exhibit the effectiveness of our proposed method.

元の言語English
ホスト出版物のタイトル2019 International Joint Conference on Neural Networks, IJCNN 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728119854
DOI
出版物ステータスPublished - 2019 7
イベント2019 International Joint Conference on Neural Networks, IJCNN 2019 - Budapest, Hungary
継続期間: 2019 7 142019 7 19

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
2019-July

Conference

Conference2019 International Joint Conference on Neural Networks, IJCNN 2019
Hungary
Budapest
期間19/7/1419/7/19

Fingerprint

Linear regression
Supervised learning
Classifiers

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

これを引用

Ren, Y., Li, W., & Hu, J. (2019). A Semi-supervised Classification Using Gated Linear Model. : 2019 International Joint Conference on Neural Networks, IJCNN 2019 [8852099] (Proceedings of the International Joint Conference on Neural Networks; 巻数 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2019.8852099

A Semi-supervised Classification Using Gated Linear Model. / Ren, Yanni; Li, Weite; Hu, Jinglu.

2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8852099 (Proceedings of the International Joint Conference on Neural Networks; 巻 2019-July).

研究成果: Conference contribution

Ren, Y, Li, W & Hu, J 2019, A Semi-supervised Classification Using Gated Linear Model. : 2019 International Joint Conference on Neural Networks, IJCNN 2019., 8852099, Proceedings of the International Joint Conference on Neural Networks, 巻. 2019-July, Institute of Electrical and Electronics Engineers Inc., 2019 International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary, 19/7/14. https://doi.org/10.1109/IJCNN.2019.8852099
Ren Y, Li W, Hu J. A Semi-supervised Classification Using Gated Linear Model. : 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8852099. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2019.8852099
Ren, Yanni ; Li, Weite ; Hu, Jinglu. / A Semi-supervised Classification Using Gated Linear Model. 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the International Joint Conference on Neural Networks).
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