References
- Breiman, L. (1996). Bagging predictors. Machine Learning Journal, 26, 123-140.
- Breiman, L. (2001). Random forests. Machine Learning Journal, 45, 5-32. https://doi.org/10.1023/A:1010933404324
- Cho, D. (2010). Mixed-effects LS-SVR for longitudinal data. Journal of the Korean Data & Information Science Society, 21, 363-369.
- Cho, D., Shim, J. and Seok, K. H. (2010). Doubly penalized kernel method for heteroscedastic autoregressive data. Journal of the Korean Data & Information Science Society, 21, 155-162.
- Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004). Least angle regression. Annals of Statistics, 32, 407-451. https://doi.org/10.1214/009053604000000067
- Freund, Y. and Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55,119-139. https://doi.org/10.1006/jcss.1997.1504
- Hastie, T., Taylor, J., Tibshirani, R. and Walther. G. (2007). Forward stagewise regression and the monotone lasso. Electronic Journal of Statistics, 1, 1-29. https://doi.org/10.1214/07-EJS004
- Hwang, H. (2010). Variable selection for multiclassification by LS-SVM. Journal of the Korean Data & Information Science Society, 21, 959-965.
- Shim, J. (2011). Variable selection in the kernel Cox regression. Journal of the Korean Data & Information Science Society, 22, 795-801.
- Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society B, 58, 267-288.
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