Author:
Nguyen Thuong H. T.,Le Bao,Nguyen Phuc,Tran Linh G. H.,Nguyen Thu,Nguyen Binh T.
Publisher
Springer Nature Switzerland
Reference18 articles.
1. A principal-component missing-data method for multiple regression models. System Development Corporation (1959)
2. Al-helali, B., Chen, Q., Xue, B., Zhang, M.: A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25, 1–20 (2021)
3. Bansal, P., Deshpande, P., Sarawagi, S.: Missing value imputation on multidimensional time series. CoRR, abs/2103.01600 (2021)
4. Fortuny-Folch, A., Arteaga, F., Ferrer, A.: PCA model building with missing data: new proposals and a comparative study. System Development Corporation (2015)
5. Lecture Notes in Computer Science;A Garg,2018
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