Ensemble classification methods with applications in R / edited by Esteban Alfaro, Matías Gámez and Noelia García.

Includes bibliographical references and index.

Limitation of the individual classifiers -- Ensemble classifiers methods -- Classification with individual and ensemble trees in R -- Bankrupcty prediction through ensemble trees -- Experiments with adabag in biology classification tasks -- Generalization bounds for ranking algorithms -- Classification and regression trees for analysing irrigation decisions -- Boosted rule learner and its properties -- Credit scoring with individuals and ensemble trees -- An overview of multiple classifier systems based on Generalized Additive Models.

Description based on online resource; title from digital title page (viewed on October 17, 2018).