1. Breiman, L.: Bagging Predictors. Machine Learning 24, 123–140 (1996)
2. Amit, Y., Geman, D.: Shape quantization and recognition with randomized trees. Neural Computation 9, 1545–1588 (1997)
3. Dietterich, T.: An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting and Randomization. Machine Learning, 1–22 (1998)
4. Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. on Pattern Analysis and Machine Intelligence 20(8), 832–844 (1998)
5. Breiman, L.: Using adaptive bagging to debias regressions, Technical Report 547, Statistics Dept. UCB (1999)