Wednesday, April 27, 2011

Adaboost and SVM

The following is an interesting study on application of Adaptive Boosting with Support Vector Machine based classifier.


Authors claim better performance on imbalanced data-sets (ranging from 150:500 to 30: 500) when compared to regular SVM based approach. It performs better than Adaboost used with classifiers such as decision trees, neural networks. 

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