We propose a new classification ensemble method named Canonical Forest. The new method uses canonical linear … discriminant analysis (CLDA) and bootstrapping to obtain accurate and diverse classifiers that constitute an ensemble. We note CLDA … original space. To further facilitate the diversity of the classifiers in an ensemble, CLDA is applied only on a partial …

boosting for optimizing general risk functions utilizing component-wise (penalized) least squares estimates as base …