Applications of Supervised and Unsupervised Ensemble Methods

  • Oleg Okun
  • Giorgio Valentini

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

Table of contents

  1. Front Matter
  2. Grigorios Tsoumakas, Ioannis Partalas, Ioannis Vlahavas
    Pages 1-13
  3. Battista Biggio, Giorgio Fumera, Fabio Roli
    Pages 15-38
  4. Francesco Gargiulo, Antonio Penta, Antonio Picariello, Carlo Sansone
    Pages 39-57
  5. Georg Krempl, Vera Hofer
    Pages 93-112
  6. Jesús Maudes, Juan J. Rodríguez, César García-Osorio
    Pages 113-133
  7. Cédric Wemmert, Germain Forestier, Sébastien Derivaux
    Pages 135-149
  8. Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
    Pages 151-173
  9. Muna Al-Razgan, Carlotta Domeniconi
    Pages 175-189
  10. Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini
    Pages 213-231
  11. Back Matter

About this book

Introduction

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.

Keywords

European Conference on Artificial Intelligence Spam artificial intelligence cognition computational intelligence image analysis knowledge learning pattern recognition proving

Editors and affiliations

  • Oleg Okun
    • 1
  • Giorgio Valentini
    • 2
  1. 1.Precise Biometrics ABLundSweden
  2. 2.Dipartimento di Scienze dell’InformazioneUniversità degli Studi di MilanoMilanoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03999-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-03998-0
  • Online ISBN 978-3-642-03999-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book