Publisher
Springer Nature Switzerland
Reference27 articles.
1. Tibshirani, R.: Regression shrinkage and selection via the lasso. J. Roy. Stat. Soc. Ser. B (Methodol.) 58(1), 267–288 (1996)
2. Yuan, M., Lin, Y.: Model selection and estimation in regression with grouped variables. J. Roy. Stat. Soc. Ser. B (Stat. Methodol.) 68, 49–67 (2006)
3. Qi, Z., Wang, T., Song, G., Hu, W., Li, X., Zhang, Z.: Deep air learning: ınterpolation, prediction, and feature analysis of fine-grained air quality. IEEE Trans. Knowl. Data Eng. 30(12), 2285–2297 (2018)
4. Dong, M., Yang, D., Kuang, Y., He, D., Erdal, S., Kenski, D.: PM2.5 concentration prediction using hidden semi-markov model-based times series data mining. Expert Syst. Appl. 36(5), 9046–9055 (2009)
5. Thomas, S., Jacko, R.B.: Model for forecasting expressway pm2.5 concentration – application of regression and neural network models. J. Air Waste Manag. Assoc. 57(4), 480–488 (2007)