Ensembles in Machine Learning Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Okun, Oleg (Editor), Valentini, Giorgio (Editor), Re, Matteo (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 373
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD...

Table of Contents:

• From the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers
• On the Design of Low Redundancy Error-Correcting Output Codes
• Minimally-Sized Balanced Decomposition Schemes for Multi-Class Classification
• Bias-Variance Analysis of ECOC and Bagging Using Neural Nets
• Fast-ensembles of Minimum Redundancy Feature Selection.