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AdaBoost has been successfully used in many signal processing systems for data classification. It has been observed that on highly noisy data AdaBoost leads to overfitting. In this paper, a new regularized boosting algorithm LPnorm2-AdaBoost (LPNA), arising from the close connection between AdaBoost and linear programming, is proposed to mitigate the overfitting problem. In the algorithm, the data...
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