Generalized Boosted Models: A guide to the gbm package
Gradient boosting | Friedman's gradient boosting machine | Improving boosting methods using control of the learning rate, sub-sampling, and a decomposition for interpretation | Decreasing the learning rate | Variance reduction using subsampling | ANOVA decomposition | Relative influence | Common user options | Loss function | The relationship between shrinkage and number of iterations | Estimating the optimal number of iterations