Decision Forests - Data Mining with Decision Trees: Theory and Applications - page 129

Fig. 9.15 The RotBoost algorithm.
diversifying heuristic. Rotation Forest is a powerful method for generating
an ensemble of classification trees. While it has gained less popularity than
Random Forest, we highly recommend to prefer it over Random Forest
especially if the predictive performance is the main criterion for success.
9.4.2.5 Cross-validated Committees
This procedure creates k classifiers by partitioning the training set into
k -equal-sized sets and training, in turn, on all but the i th set. This method,