Ensemble classification methods with applications in R /

Détails bibliographiques
Cote:Libro Electrónico
Autres auteurs: Alfaro, Esteban, 1977- (Éditeur intellectuel), Gámez, Matías, 1966- (Éditeur intellectuel), García, Noelia, 1973- (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, NJ : John Wiley & Sons, Inc., 2019.
Sujets:
Machine learning > Statistical methods.
R (Computer program language)
Apprentissage automatique > Méthodes statistiques.
R (Langage de programmation)
COMPUTERS > General.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • 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.

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