Intelligent Data Engineering and Automated Learning - IDEAL 2007

8th International Conference, Birmingham, UK, December 16-19, 2007. Proceedings

  • Editors
  • Hujun Yin
  • Peter Tino
  • Emilio Corchado
  • Will Byrne
  • Xin Yao
Conference proceedings IDEAL 2007

DOI: 10.1007/978-3-540-77226-2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4881)

Table of contents

  1. Front Matter
  2. Learning and Information Processing

    1. Jiuzhen Liang
      Pages 1-9
    2. S. Chen, X. Hong, C. J. Harris
      Pages 27-36
    3. Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
      Pages 47-56
    4. Frédéric Ratle, Mikhail Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux
      Pages 67-76
    5. Iván Olier, Alfredo Vellido
      Pages 77-86
    6. Zhihui Luo, David Bell, Barry McCollum
      Pages 87-96
    7. Md. Monirul Islam, Mohammad Shafiul Alam, Kazuyuki Murase
      Pages 97-106
    8. Fatih Onur Hocaog̃lu, Mehmet Kurban
      Pages 107-114
    9. José R. Villar, Enrique de la Cal, Javier Sedano
      Pages 155-167
    10. Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
      Pages 168-177
    11. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, María Tombilla-Sanromán
      Pages 178-187

About these proceedings

Keywords

Automat algorithm algorithms bioinformatics data mining distributed systems learning modeling neuroinformatics

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-77225-5
  • Online ISBN 978-3-540-77226-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349