In matters of great importance that have financial, medical, social, or other implications, we
often seek a second opinion before making a decision, sometimes a third, and sometimes …

We present a novel ensemble pruning method based on reordering the classifiers obtained
from bagging and then selecting a subset for aggregation. Ordering the classifiers generated …

Ensemble of classifiers is an effective way of improving performance of individual classifiers.
However, the task of selecting the ensemble members is often a non-trivial one. For …

Ensemble of classifiers is an effective way of improving performance of individual classifiers.
However, the choice of the ensemble members can become a very difficult task, in which, in …

Many recent works have investigated methods to select subsets of classifiers instead of
combining all available classifiers. The majority of these works has concluded that the …

EMG signal decomposition is the process of resolving a composite EMG signal into its
constituent motor unit potential trains (classes) and it can be configured as a classification …

Automated recognition of sketch drawings can provide the means for a natural interface
between the designer and a design support system. Sketch drawing recognition is …

An ensemble is viewed as a machine learning system that combines multiple models to
work collectively in the hope of producing a better performance than that of individuals …