Applications of Supervised and Unsupervised Ensemble Methods

✍ Scribed by Grigorios Tsoumakas, Ioannis Partalas (auth.), Oleg Okun, Giorgio Valentini (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 275
Series: Studies in Computational Intelligence 245
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book contains the extended papers presented at the 2nd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) held on 21-22 July, 2008 in Patras, Greece, in conjunction with the 18th European Conference on Artificial Intelligence (ECAI’2008). This workshop was a successor of the smaller event held in 2007 in conjunction with 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain. The success of that event as well as the publication of workshop papers in the edited book “Supervised and Unsupervised Ensemble Methods and their Applications”, published by Springer-Verlag in Studies in Computational Intelligence Series in volume 126, encouraged us to continue a good tradition.

The purpose of this book is to support practitioners in various branches of science and technology to adopt the ensemble approach for their daily research work. We hope that fourteen chapters composing the book will be a good guide in the sea of numerous opportunities for ensemble methods.

✦ Table of Contents

Front Matter....Pages -
An Ensemble Pruning Primer....Pages 1-13
Evade Hard Multiple Classifier Systems....Pages 15-38
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach....Pages 39-57
Weighted Decoding ECOC for Facial Action Unit Classification....Pages 59-77
Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources....Pages 79-91
Partitioner Trees for Classification: A New Ensemble Method....Pages 93-112
Disturbing Neighbors Diversity for Decision Forests....Pages 113-133
Improving Supervised Learning with Multiple Clusterings....Pages 135-149
The Neighbors Voting Algorithm and Its Applications....Pages 151-173
Clustering Ensembles with Active Constraints....Pages 175-189
Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs....Pages 191-211
Independent Data Model Selection for Ensemble Dispersion Forecasting....Pages 213-231
Integrating Liknon Feature Selection and Committee Training....Pages 233-250
Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care....Pages 251-265
Back Matter....Pages -

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

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