Artificial Neural Networks – ICANN 2006

16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I

  • Stefanos D. Kollias
  • Andreas Stafylopatis
  • Włodzisław Duch
  • Erkki Oja

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4131)

Table of contents

  1. Front Matter
  2. Feature Selection and Dimension Reduction for Regression (Special Session)

  3. Learning Algorithms (I)

    1. Anton Maximilian Schäfer, Steffen Udluft, Hans Georg Zimmermann
      Pages 71-80
    2. Spiros Ioannou, Loic Kessous, George Caridakis, Kostas Karpouzis, Vered Aharonson, Stefanos Kollias
      Pages 81-92
    3. Matúš Užák, Rudolf Jakša
      Pages 103-112
    4. Takeshi Matsuda, Sumio Watanabe
      Pages 113-121
  4. Learning Algorithms (II)

    1. Iván Gómez, Leonardo Franco, José L. Subirats, José M. Jerez
      Pages 122-129
    2. Davide Bacciu, Antonina Starita
      Pages 130-139
    3. Kang Li, Jian Xun Peng, Minrui Fei
      Pages 140-149
    4. Daniel Schneegaß, Kai Labusch, Thomas Martinetz
      Pages 150-158
    5. Roberto Lopez, Eugenio Oñate
      Pages 159-168
  5. Advances in Neural Network Learning Methods (Special Session)

    1. Ana González, José R. Dorronsoro
      Pages 169-177
    2. Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez
      Pages 178-187

Other volumes

  1. Artificial Neural Networks – ICANN 2006
    16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I
  2. 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II

About these proceedings

Introduction

This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006. The ICANN conference is organized annually by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in these fields. In 2006 the ICANN Conference was organized by the Intelligent Systems Laboratory and the Image, Video and Multimedia Systems Laboratory of the National Technical University of Athens in Athens, Greece. From 475 papers submitted to the conference, the International Program Committee selected, following a thorough peer-review process, 208 papers for publication and presentation to 21 regular and 10 special sessions. The quality of the papers received was in general very high; as a consequence, it was not possible to accept and include in the conference program many papers of good quality.

Keywords

Neuroscience algorithm algorithms bioinformatics complex system image processing learning machine learning multimedia organization robot robotics semantic web

Editors and affiliations

  • Stefanos D. Kollias
    • 1
  • Andreas Stafylopatis
    • 2
  • Włodzisław Duch
    • 3
  • Erkki Oja
    • 4
  1. 1.School of Electrical and Computer Engineering, Image, Video and Multimedia Systems LaboratoryNational Technical University of AthensZographouGreece
  2. 2.Department of Electrical and Computer EngineeringNational Technical University of AthensZographouGreece
  3. 3.Department of InformaticsNicolaus Copernicus UniversityToruńPoland
  4. 4.Adaptive Informatics Research CentreHelsinki University of Technology, HUTFinland

Bibliographic information

  • DOI https://doi.org/10.1007/11840817
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-38625-4
  • Online ISBN 978-3-540-38627-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book