Cross-Validating and Bagging Partitioning Algorithms with Variable Importance
We present a cross-validated bagging scheme in the context of partitioning algorithms. To explore the benefits of the various bagging scheme, we compare via simulations the predictive ability of single Classification and Regression (CART) Tree with several previously suggested bagging schemes and with our proposed approach. Additionally, a variable importance measure is explained and illustrated.
Annette M. Molinaro and Mark J. van der Laan. "Cross-Validating and Bagging Partitioning Algorithms with Variable Importance" 2005
Available at: http://works.bepress.com/mark_van_der_laan/45