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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II

  • Włodzisław Duch
  • Janusz Kacprzyk
  • Erkki Oja
  • Sławomir Zadrożny
Conference proceedings ICANN 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3697)

Table of contents

  1. Front Matter
  2. New Neural Network Models

    1. Yevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva
      Pages 1-6
    2. Matteo Gagliolo, Jürgen Schmidhuber
      Pages 7-12
    3. Ana González, Iván Cantador, José R. Dorronsoro
      Pages 13-18
    4. Maciej Krawczak
      Pages 19-24
    5. Yong-Quan Zhou, Li-Cheng Jiao
      Pages 45-51
  3. Supervised Learning Algorithms

    1. Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
      Pages 53-58
    2. Yevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss
      Pages 59-65
    3. Włodzisław Duch
      Pages 67-72
    4. Ananda Jagadeesan, Grant Maxwell, Christopher MacLeod
      Pages 73-78
    5. Przemysław Prętki, Marcin Witczak
      Pages 79-84
    6. Masaru Sakamoto, Dong Duo, Yoshihiro Hashimoto, Toshiaki Itoh
      Pages 85-90
    7. Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
      Pages 91-96
    8. Alagappan Viswanathan, Christopher MacLeod, Grant Maxwell, Sashank Kalidindi
      Pages 103-108
    9. David Wedge, David Ingram, David McLean, Clive Mingham, Zuhair Bandar
      Pages 109-114
  4. Ensemble-Based Learning

    1. Pitoyo Hartono, Shuji Hashimoto
      Pages 115-120
    2. Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
      Pages 121-126
    3. Pavel Kordík, Miroslav Šnorek
      Pages 127-132
    4. Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
      Pages 133-138
    5. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 139-144
  5. Unsupervised Learning

  6. Recurrent Neural Networks

  7. Reinforcement Learning

    1. Ireneusz Czarnowski, Piotr Jędrzejowicz
      Pages 197-202
    2. Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda
      Pages 209-214
    3. Masashi Sugiyama, Klaus-Robert Müller
      Pages 235-240
  8. Bayesian Approaches to Learning

    1. Zhuo Gao, K. Y. Michael Wong
      Pages 241-246
    2. Ramūnas Girdziušas, Jorma Laaksonen
      Pages 247-252
    3. Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
      Pages 253-259
    4. Xiaolin Li, Xiangdong He, Senmiao Yuan
      Pages 261-266
    5. Ulrich Paquet, Sean Holden, Andrew Naish-Guzman
      Pages 267-272
    6. Shiliang Sun, Changshui Zhang, Yi Zhang
      Pages 273-278
  9. Learning Theory

    1. Cédric Archambeau, Michel Verleysen
      Pages 279-284
    2. Slawomir Golak
      Pages 295-300
    3. Thomas Martinetz, Kai Labusch, Daniel Schneegaß
      Pages 301-306
    4. Andrew Naish-Guzman, Sean Holden, Ulrich Paquet
      Pages 307-312

Other volumes

  1. 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part I
  2. Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005
    15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II

About these proceedings

Introduction

This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized 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 those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Keywords

Algorithms algorithm artificial intelligence bioinformatics computer vision intelligence learning learning theory modeling multimedia semantics speech processing speech recognition system modeling

Editors and affiliations

  • Włodzisław Duch
    • 1
  • Janusz Kacprzyk
    • 2
  • Erkki Oja
    • 3
  • Sławomir Zadrożny
    • 4
  1. 1.Department of InformaticsNicolaus Copernicus UniversityToruńPoland
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  3. 3.Adaptive Informatics Research CentreHelsinki University of TechnologyHUTFinland
  4. 4.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/11550907
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-28755-1
  • Online ISBN 978-3-540-28756-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site