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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Okyay Kaynak

    1. Bogazici University, Istanbul, Turkey

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  2. Ethem Alpaydin

    1. Bogazici University, Istanbul, Turkey

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  3. Erkki Oja

    1. Laboratory of Computer and Information Science, Helsinki University of Technology, Finland

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  4. Lei Xu

    1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2714)

Included in the following conference series:

Conference proceedings info: ICANN 2003, ICONIP 2003.

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Table of contents (140 papers)

  1. Front Matter

    Pages I-XXIII
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  2. Learning Algorithms

    1. Adaptive Hopfield Network

      • Gürsel Serpen
      Pages 3-10

    2. Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks

      • Hirotaka Inoue, Hiroyuki Narihisa
      Pages 11-18

    3. Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing

      • James Henderson
      Pages 19-26

    4. Independent Component Analysis Minimizing Convex Divergence

      • Yasuo Matsuyama, Naoto Katsumata, Ryo Kawamura
      Pages 27-34

    5. Selecting Salient Features for Classification Committees

      • Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
      Pages 35-42

    6. Fast and Efficient Training of RBF Networks

      • Oliver Buchtala, Alexander Hofmann, Bernhard Sick
      Pages 43-51

    7. Loading Temporal Associative Memory Using the Neuronic Equation

      • Cheng-Yuan Liou, Un-Cheong Sou
      Pages 52-59

    8. Learning Compatibility Functions for Feature Binding and Perceptual Grouping

      • Sebastian Weng, Jochen J. Steil
      Pages 60-67

    9. Differential ICA

      • Seungjin Choi
      Pages 68-75

    10. A Comparison of Model Aggregation Methods for Regression

      • Zafer Barutçuoğlu, Ethem Alpaydın
      Pages 76-83

    11. Linear Least-Squares Based Methods for Neural Networks Learning

      • Oscar Fontenla-Romero, Deniz Erdogmus, J. C. Principe, Amparo Alonso-Betanzos, Enrique Castillo
      Pages 84-91

    12. Optimal Hebbian Learning: A Probabilistic Point of View

      • Jean-Pascal Pfister, David Barber, Wulfram Gerstner
      Pages 92-98

    13. Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning

      • Ryotaro Kamimura
      Pages 99-106

    14. Approximate Learning in Temporal Hidden Hopfield Models

      • Felix V. Agakov, David Barber
      Pages 107-114

    15. Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier

      • Kaizhu Huang, Irwin King, Michael R. Lyu
      Pages 115-122

    16. System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning

      • Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
      Pages 123-131

    17. Dimension Reduction Based on Orthogonality — A Decorrelation Method in ICA

      • Kun Zhang, Lai-Wan Chan
      Pages 132-139

    18. Selective Sampling Methods in One-Class Classification Problems

      • Piotr Juszczak, Robert P. W. Duin
      Pages 140-148

    19. Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding

      • Alberto Paccanaro
      Pages 149-156
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  1. Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

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About this book

 

This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.

The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

Editors and Affiliations

  • Bogazici University, Istanbul, Turkey

    Okyay Kaynak, Ethem Alpaydin

  • Laboratory of Computer and Information Science, Helsinki University of Technology, Finland

    Erkki Oja

  • Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Lei Xu

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