Constructing Ensemble Classifiers from Expression Trees

The paper proposes and reviews a family of ensemble classifiers constructed from expression trees. Expression trees are induced using gene expression programming and cellular evolutionary algorithm. Ensemble classifiers are constructed using several techniques including majority voting, boosting and Dempster-Shafer theory of evidence. Computational experiment results confirm high quality of the proposed classifiers.