Boosting the PLS Algorithm for Regressive Modelling

Boosting algorithms are a class of general methods used to improve the generalization performance of regression analysis. The main idea is to maintain a distribution over the train set. In order to use the given distribution directly, a modified PLS algorithm is proposed and used as the base learner to deal with regression problems. Experiments on gasoline octane number prediction demonstrate that boosting the modified PLS algorithm has better generalization performance over the PLS algorithm.