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.
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.
No comments:
Post a Comment