automatic selection of smoothing parameters. Moreover, boosting techniques may be used to incorporate the subject … is likelihood based boosting. Boosting originates in the machine learning community where it has been proposed as a … technique to improve classification procedures by combining estimates with reweighted observations. Likelihood based boosting is …

In this report a support system for predicting end prices on eBay is proposed. The end price predictions are based on … the item descriptions found in the item listings of eBay, and on some numerical item features. The system uses text mining … and boosting algorithms from the field of machine learning. Our system substantially outperforms the naive method of …

In this report a support system for predicting end prices on eBay is proposed. The end price predictions are based on … the item descriptions found in the item listings of eBay, and on some numerical item features. The system uses text mining … and boosting algorithms from the field of machine learning. Our system substantially outperforms the naive method of …