Recent Advances in Ensembles for Feature Selection

This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and eval...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Bolón-Canedo, Verónica (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Alonso-Betanzos, Amparo (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Intelligent Systems Reference Library, 147
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Basic concepts
  • Feature selection
  • Foundations of ensemble learning
  • Ensembles for feature selection
  • Combination of outputs
  • Evaluation of ensembles for feature selection
  • Other ensemble approaches
  • Applications of ensembles versus traditional approaches: experimental results
  • Software tools
  • Emerging Challenges. .