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Artificial Neural Networks - ICANN 2001

International Conference Vienna, Austria, August 21-25, 2001 Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Georg Dorffner

    1. Dept. of Mecidal Cybernetics and Artificial Intelligence, University of Vienna, Vienna, Austria

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  2. Horst Bischof

    1. Institute for Computer Aided Automation Pattern Recognition and Image Processing Group, Technical University of Vienna, Vienna, Austria

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  3. Kurt Hornik

    1. Institut für Statistik, Wirtschaftsuniversität Wien, Wien, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2130)

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Table of contents (174 papers)

  1. Data Analysis and Pattern Recognition

    1. The Bias-Variance Dilemma of the Monte Carlo Method

      • Zlochin Mark, Yoram Baram
      Pages 141-147

    2. A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations

      • Takehiro Nishiyama, Kazuo Tsuchiya, Katsuyoshi Tsujita
      Pages 148-155

    3. Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster

      • Michael Weeks, Jim Austin, Anthony Moulds, Aaron Turner, Zygmunt Ulanowski, Julian Young
      Pages 156-163

    4. Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors

      • Alfred Strey, Martin Bange
      Pages 164-169

    5. A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks

      • Wai-keung Fung, Yun-hui Liu
      Pages 170-176

    6. Gaussian Radial Basis Functions and Inner-Product Spaces

      • Irwin W. Sandberg
      Pages 177-182

    7. Mixture of Probabilistic Factor Analysis Model and Its Applications

      • Masahiro Tanaka
      Pages 183-188

    8. Deferring the Learning for Better Generalization in Radial Basis Neural Networks

      • José María Valls, Pedro Isasi, Inés María Galván
      Pages 189-195

    9. Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function

      • Christophe Lurette, Stéphane Lecoeuche
      Pages 196-202

    10. Independent Variable Group Analysis

      • Krista Lagus, Esa Alhoniemi, Harri Valpola
      Pages 203-210

    11. Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing

      • Fatih Köksal, Ethem Alpaydyn, Günhan Dündar
      Pages 211-216

    12. Voting-Merging: An Ensemble Method for Clustering

      • Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
      Pages 217-224

    13. The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks

      • James Cannady, Raymond C. Garcia
      Pages 225-230

    14. Transductive Learning: Learning Iris Data with Two Labeled Data

      • Chun Hung Li, Pong Chi Yuen
      Pages 231-236

    15. Approximation of Time-Varying Functions with Local Regression Models

      • Achim Lewandowski, Peter Protzel
      Pages 237-243
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Keywords

About this book

This book is based on the papers presented at the International Conference on Arti?cial Neural Networks, ICANN 2001, from August 21–25, 2001 at the - enna University of Technology, Austria. The conference is organized by the A- trian Research Institute for Arti?cal Intelligence in cooperation with the Pattern Recognition and Image Processing Group and the Center for Computational - telligence at the Vienna University of Technology. The ICANN conferences were initiated in 1991 and have become the major European meeting in the ?eld of neural networks. From about 300 submitted papers, the program committee selected 171 for publication. Each paper has been reviewed by three program committee m- bers/reviewers. We would like to thank all the members of the program comm- tee and the reviewers for their great e?ort in the reviewing process and helping us to set up a scienti?c program of high quality. In addition, we have invited eight speakers; three of their papers are also included in the proceedings. We would like to thank the European Neural Network Society (ENNS) for their support. We acknowledge the ?nancial support of Austrian Airlines, A- trian Science Foundation (FWF) under the contract SFB 010, Austrian Society ¨ for Arti?cial Intelligence (OGAI), Bank Austria, and the Vienna Convention Bureau. We would like to express our sincere thanks to A. Flexer, W. Horn, K. Hraby, F. Leisch, C. Schittenkopf, and A. Weingessel. The conference and the proceedings would not have been possible without their enormous contri- tion.

Editors and Affiliations

  • Dept. of Mecidal Cybernetics and Artificial Intelligence, University of Vienna, Vienna, Austria

    Georg Dorffner

  • Institute for Computer Aided Automation Pattern Recognition and Image Processing Group, Technical University of Vienna, Vienna, Austria

    Horst Bischof

  • Institut für Statistik, Wirtschaftsuniversität Wien, Wien, Austria

    Kurt Hornik

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