请给出介绍随机森林算法原理的参考文献

以下是关于随机森林算法原理的参考文献：
- Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32.
- Liaw, A., & Wiener, M. (2002). Classification and regression by randomForest. R news, 2(3), 18-22.
- Cutler, A., Cutler, D. R., & Stevens, J. R. (2007). Random forests. In Ensemble machine learning (pp. 157-175). Springer, Boston, MA.
- Genuer, R., Poggi, J. M., & Tuleau-Malot, C. (2010). Variable selection using random forests. Pattern recognition letters, 31(14), 2225-2236.
- Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC bioinformatics, 8(1), 25.

以上文献提供了随机森林算法的基本原理、分类和回归应用、变量选择以及相关问题和解决方法的讨论。