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Artificial Neural Networks - ICANN 2008

18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I

  • Editors
  • Véra Kůrková
  • Roman Neruda
  • Jan Koutník
Conference proceedings ICANN 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5163)

Table of contents

  1. Front Matter
  2. Mathematical Theory of Neurocomputing

    1. Bartlomiej Beliczynski, Bernardete Ribeiro
      Pages 11-20
    2. Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
      Pages 21-30
    3. Paul C. Kainen, Věra Kůrková
      Pages 31-40
    4. Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz
      Pages 41-50
    5. Yutaka Shimada, Takayuki Kimura, Tohru Ikeguchi
      Pages 61-70
    6. Martin Schüle, Thomas Ott, Ruedi Stoop
      Pages 71-78
  3. Learning Algorithms

    1. Mohamed F. Abdel Hady, Friedhelm Schwenker, Günther Palm
      Pages 79-88
    2. Bruno Apolloni, Simone Bassis, Andrea Brega
      Pages 99-108
    3. Wei-Chen Cheng, Cheng-Yuan Liou
      Pages 119-127
    4. Cezary Dendek, Jacek Mańdziuk
      Pages 128-135
    5. Yoshitatsu Matsuda, Kazunori Yamaguchi
      Pages 136-144
    6. Yoan Miche, Antti Sorjamaa, Amaury Lendasse
      Pages 145-154
    7. Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-Gonzalez
      Pages 155-164
    8. Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
      Pages 165-174
    9. Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens
      Pages 175-184
    10. Luís M. Silva, Mark Embrechts, Jorge M. Santos, J. Marques de Sá
      Pages 185-194
  4. Kernel Methods, Statistical Learning, and Ensemble Techniques

    1. Daniel Hernández-Lobato
      Pages 205-214
    2. Peter Lacko, Vladimír Kvasnička
      Pages 225-234
    3. Laura E. A. Santana, Anne M. P. Canuto, João C. Xavier Jr.
      Pages 245-254
    4. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 275-284
    5. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 285-294
  5. Support Vector Machines

    1. Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
      Pages 305-314
    2. Álvaro Barbero, Jorge López, José R. Dorronsoro
      Pages 315-324
    3. Honorius Gâlmeanu, Răzvan Andonie
      Pages 325-335
    4. Khaled Boukharouba, Stéphane Lecoeuche
      Pages 336-345
    5. Tomasz Maszczyk, Włodzisław Duch
      Pages 346-356
  6. Reinforcement Learning

    1. Marek Grześ, Daniel Kudenko
      Pages 357-366
    2. Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya
      Pages 377-386
    3. Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
      Pages 387-396
    4. Daan Wierstra, Tom Schaul, Jan Peters, Juergen Schmidhuber
      Pages 407-416
  7. Evolutionary Computing

    1. Zdeněk Buk, Miroslav Šnorek
      Pages 426-434
    2. Oleg Kovářík, Miroslav Skrbek
      Pages 435-442
    3. Daniel Novák, Aleš Pilný, Pavel Kordík, Štefan Holiga, Petr Pošík, R. Černý et al.
      Pages 452-461
    4. Tomáš Siegl, Pavel Kordík, Miroslav Šnorek, Pavel Calda
      Pages 462-471

Other volumes

  1. Artificial Neural Networks - ICANN 2008
    18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
  2. 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II

About these proceedings

Introduction

This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.

Keywords

Support Vector Machine algorithmic learning algorithms artificial intelligence bayesian statistics behavior bioinspired computing classification cognitive systems complexity data mining evolutionary systems face r fuzzy logic fuzzy system

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87536-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87535-2
  • Online ISBN 978-3-540-87536-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site