Linear Programming Boosting for Uneven Datasets

The paper extends the notion of linear programming boosting to handle uneven datasets. Extensive experiments with text classification problem compare the performance of a number of different boosting strategies, concentrating on the problems posed by uneven datasets.

• Type: Conference
• Year: 2003
• Where: ICML
• Authors: Jure Leskovec, John Shawe-Taylor
• Keywords: ICML 2003, Machine Learning, Uneven Datasets