Fusion Methods for Unsupervised Learning Ensembles

• Κύριοι συγγραφείς: Baruque, Bruno (Συγγραφέας), Corchado, Emilio (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Computational Intelligence, 322
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

The application of a “committee of experts” or ensemble learning to artificial neural networks that apply unsupervised learning techniques is widely considered to enhance the effectiveness of such networks greatly. This book examines the potential of the ensemble meta-algorithm by describing and tes...

Πίνακας περιεχομένων:

• 1 Introduction
• 2 Modelling Human Learning: Artificial Neural Networks
• 3 The Committee of Experts Approach: Ensemble Learning
• 4 Use of Ensembles for Outlier Overcoming
• 5 Ensembles of Topology Preserving Maps
• 6 A Novel Fusion Algorithm for Topology-Preserving Maps.-7 Conclusions.