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Semi-supervised partial least squares
Jin, Xi; Zhang, Xing; Rao, Kaifeng; Tang, Liang; Xie, Qiwei
2020-05
Source PublicationINTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
ISSN0219-6913
Volume18Issue:3Pages:1-12
AbstractTraditional supervised dimensionality reduction methods can establish a better model often under the premise of a large number of samples. However, in real-world applications where labeled data are scarce, traditional methods tend to perform poorly because of overfitting. In such cases, unlabeled samples could be useful in improving the performance. In this paper, we propose a semi-supervised dimensionality reduction method by using partial least squares (PLS) which we call semi-supervised partial least squares (S2PLS). To combine the labeled and unlabeled samples into a S2PLS model, we first apply the PLS algorithm to unsupervised dimensionality reduction. Then, the final S2PLS model is established by ensembling the supervised PLS model and the unsupervised PLS model which using the basic idea of principal model analysis (PMA) method. Compared with unsupervised or supervised dimensionality reduction algorithms, S2PLS not only can improve the prediction accuracy of the samples but also enhance the generalization ability of the model. Meanwhile, it can obtain better results even there are only a few or no labeled samples. Experimental results on five UCI data sets also confirmed the above properties of S2PLS algorithm.
Department环境水质学国家重点实验室
KeywordPartial least squares semi-supervised unsupervised learning dimensionality reduction principal model analysis
Document Type期刊论文
Identifierhttps://ir.rcees.ac.cn/handle/311016/44991
Collection环境水质学国家重点实验室
Recommended Citation
GB/T 7714
Jin, Xi,Zhang, Xing,Rao, Kaifeng,et al. Semi-supervised partial least squares[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2020,18(3):1-12.
APA Jin, Xi,Zhang, Xing,Rao, Kaifeng,Tang, Liang,&Xie, Qiwei.(2020).Semi-supervised partial least squares.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,18(3),1-12.
MLA Jin, Xi,et al."Semi-supervised partial least squares".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 18.3(2020):1-12.
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