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Applications of Supervised and Unsupervised Ensemble Methods

  • Book
  • © 2009

Overview

Editors:
  1. Oleg Okun

    1. Precise Biometrics AB, Lund, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Giorgio Valentini

    1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milano, Italy

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent developments of Supervised and Unsupervised Ensemble Methods and Their Applications
  • Extended contributions from SUEMA 2008 workshop and more

Part of the book series: Studies in Computational Intelligence (SCI, volume 245)

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Table of contents (14 chapters)

  1. Front Matter

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  2. An Ensemble Pruning Primer

    • Grigorios Tsoumakas, Ioannis Partalas, Ioannis Vlahavas
    Pages 1-13

  3. Evade Hard Multiple Classifier Systems

    • Battista Biggio, Giorgio Fumera, Fabio Roli
    Pages 15-38

  4. A Personal Antispam System Based on a Behaviour-Knowledge Space Approach

    • Francesco Gargiulo, Antonio Penta, Antonio Picariello, Carlo Sansone
    Pages 39-57

  5. Weighted Decoding ECOC for Facial Action Unit Classification

    • Terry Windeatt
    Pages 59-77

  6. Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

    • Matteo Re, Giorgio Valentini
    Pages 79-91

  7. Partitioner Trees for Classification: A New Ensemble Method

    • Georg Krempl, Vera Hofer
    Pages 93-112

  8. Disturbing Neighbors Diversity for Decision Forests

    • Jesús Maudes, Juan J. Rodríguez, César García-Osorio
    Pages 113-133

  9. Improving Supervised Learning with Multiple Clusterings

    • Cédric Wemmert, Germain Forestier, Sébastien Derivaux
    Pages 135-149

  10. The Neighbors Voting Algorithm and Its Applications

    • Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
    Pages 151-173

  11. Clustering Ensembles with Active Constraints

    • Muna Al-Razgan, Carlotta Domeniconi
    Pages 175-189

  12. Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs

    • Sebastian Nusser, Clemens Otte, Werner Hauptmann
    Pages 191-211

  13. Independent Data Model Selection for Ensemble Dispersion Forecasting

    • Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini
    Pages 213-231

  14. Integrating Liknon Feature Selection and Committee Training

    • Erinija Pranckeviciene
    Pages 233-250

  15. Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care

    • Pedro Gago, Manuel Filipe Santos
    Pages 251-265

  16. Back Matter

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Keywords

About this book

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.

Editors and Affiliations

  • Precise Biometrics AB, Lund, Sweden

    Oleg Okun

  • Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milano, Italy

    Giorgio Valentini

Bibliographic Information

  • Book Title: Applications of Supervised and Unsupervised Ensemble Methods

  • Editors: Oleg Okun, Giorgio Valentini

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-03999-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-642-03998-0Published: 06 October 2009

  • Softcover ISBN: 978-3-642-26077-3Published: 14 March 2012

  • eBook ISBN: 978-3-642-03999-7Published: 15 October 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XX, 268

  • Number of Illustrations: 28 b/w illustrations, 59 illustrations in colour

  • Topics: Artificial Intelligence, Mathematical and Computational Engineering

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