Ensemble pruning deals with the selection of base learners prior to combination in order to improve prediction accuracy … and efficiency. In the ensemble literature, it has been pointed out that in order for an ensemble classifier to achieve … higher prediction accuracy, it is critical for the ensemble classifier to consist of accurate classifiers which at the same …

Data Program (MDP) repository. The results indicate that ensemble methods can improve the classification results of …Classification algorithms that help to identify software defects or faults play a crucial role in software risk … management. Experimental results have shown that ensemble of classifiers are often more accurate and robust to the effects of …

We propose a new ensemble classification algorithm, named super random subspace ensemble (Super RaSE), to tackle the … sparse classification problem. The proposed algorithm is motivated by the random subspace ensemble algorithm (RaSE). The RaSE … method was shown to be a flexible framework that can be coupled with any existing base classification. However, the success …

We propose a new ensemble classification algorithm, named super random subspace ensemble (Super RaSE), to tackle the … sparse classification problem. The proposed algorithm is motivated by the random subspace ensemble algorithm (RaSE). The RaSE … method was shown to be a flexible framework that can be coupled with any existing base classification. However, the success …