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 …

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 …

Several studies have demonstrated the superior performance of ensemble classification algorithms, whereby multiple …-based ensemble classifier is found to depend upon (i) the performance criterion used to measure classification performance, and (ii … member classifiers are combined into one aggregated and powerful classification model, over single models. In this paper, two …

The ensemble is a new entity on a higher level of complexity composed of source and sink. When substrate is transferred … the ensemble. The combined and interdependent productivity of the ensemble forms a surface similar to the Cobb …. Source and sink form a harmonic ensemble. When source and sink use the same substrate there will be competition. The surface …

A 6-month drought severity index (DSI6) is applied to each of the 11-member perturbed-physics ensemble (HadRM3-PPE … droughts. Projections of drought characteristics are expressed in the forms of ensemble-mean change relative to the 1980s and … particular relevance to water management, results from this ensemble have a strong influence on dry season water availability …

correlation exists as an ensemble for the 6-year time period in the evolution of the system. We verify the structure of group …

focus on improving MF-based recommender's accuracy by homogeneous ensemble methods. To build such ensembles, we investigate …, and then the effective methods are combined to form a cascade MF ensemble scheme. The validation results on experiment … datasets demonstrate that compared to a single MF-based recommender, our ensemble scheme could obtain a significant improvement …