Fusion Methods for Unsupervised Learning Ensembles

• Main Authors: Baruque, Bruno (Author), Corchado, Emilio (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 322
• Subjects: 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...

Table of Contents:

• 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.