in prediction which uses V-fold cross-validation to select weights to combine an initial set of candidate learners. In … et al. (2007)) theoretically validated the use of cross validation to select an optimal learner among many candidate … learners. Motivated by this use of cross validation, we propose a new prediction method for creating a weighted combination of …

and uses cross-validation to select between them. Theory shows that asymptotically the super learner performs essentially …

This paper addresses a methodological technique of leave-many-out cross-validation for choosing cutoff values in … cross-validation is to compute the minimum Predicted Residual Sum of Squares (PRESS). A leave-one-out cross-validation may … recommended using a method that leaves out a subset of observations, called K-fold cross-validation. Leave-many-out procedures can …

smoothing. The generalised cross-validation method for choosing bandwidth is efficiently incorporated into the algorithm. The …

smoothing. The generalised cross-validation method for choosing bandwidth is efficiently incorporated into the algorithm. The …

-wise Inverse Operator, to address these two issues. We analyze an adaptive procedure based on cross validation, and establish its …