Ensemble methods are widely used in machine learning and have been shown to be often very effective (Breiman, 1996;Smyth and Wolpert, 1999;MacKay, 1991;Freund et al., 2004).
ensemble methods and their theory have been developed primarily for binary classification or regression tasks.