Breiman's random forest
W = RANDOMFORESTC(A,L,N)
Train a decision forest on A, using L decision trees, each trained on a bootstrapped version of dataset A. Each decison tree is using random
The generation of trees might be slow. It might be stopped by PRTIME before L trees are constructed. Set PRTIME larger if desired.
 L. Breiman, Random Forests, Machine learning, vol. 45 (1), 5-32, 2001