Characterizing $L_{2}$Boosting
L2 Boosting 的性质刻画
We consider $L_{2}$Boosting, a special case of Friedman’s generic boosting algorithm applied to linear regression under $L_{2}$-loss. We study $L_{2}$Boosting for an arbitrary regularization parameter and derive an exact closed form expression for the number of steps taken along a fixed coordinate direction. This relationship is used to describe $L_{2}$Boosting’s solution path, to describe new tools for studying its path, and to characterize some of the algorithm’s unique…