Artificial Neural Networks – ICANN 2009

19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I

  • Cesare Alippi
  • Marios Polycarpou
  • Christos Panayiotou
  • Georgios Ellinas
Conference proceedings ICANN 2009
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5768)

Table of contents

  1. Front Matter
    PDF

  2. Learning Algorithms

    1. Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems
      Alberto Guillén, Antti Sorjamaa, Gines Rubio, Amaury Lendasse, Ignacio Rojas
      Pages 1-9
    2. Kernel Learning for Local Learning Based Clustering
      Hong Zeng, Yiu-ming Cheung
      Pages 10-19
    3. Projective Nonnegative Matrix Factorization with α-Divergence
      Zhirong Yang, Erkki Oja
      Pages 20-29
    4. Active Generation of Training Examples in Meta-Regression
      Ricardo B. C. Prudêncio, Teresa B. Ludermir
      Pages 30-39
    5. A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains
      Edmondo Trentin, Leonardo Rigutini
      Pages 40-49
    6. Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning
      Dimitris Tzikas, Aristidis Likas, Nikolaos Galatsanos
      Pages 50-59
    7. MINLIP: Efficient Learning of Transformation Models
      Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
      Pages 60-69
    8. Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
      Alexander Hans, Steffen Udluft
      Pages 70-79
    9. Optimal Training Sequences for Locally Recurrent Neural Networks
      Krzysztof Patan, Maciej Patan
      Pages 80-89
    10. Statistical Instance-Based Ensemble Pruning for Multi-class Problems
      Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
      Pages 90-99
    11. Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes
      Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert et al.
      Pages 100-110
    12. Mixing Different Search Biases in Evolutionary Learning Algorithms
      Kristina Davoian, Wolfram-M. Lippe
      Pages 111-120
    13. Semi-supervised Learning for Regression with Co-training by Committee
      Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm
      Pages 121-130
    14. An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data
      Rodrigo G. F. Soares, Teresa B. Ludermir, Francisco A. T. De Carvalho
      Pages 131-140
    15. Probability-Based Distance Function for Distance-Based Classifiers
      Cezary Dendek, Jacek Mańdziuk
      Pages 141-150
    16. Constrained Learning Vector Quantization or Relaxed k-Separability
      Marek Grochowski, Włodzisław Duch
      Pages 151-160
    17. Minimization of Quadratic Binary Functional with Additive Connection Matrix
      Leonid Litinskii
      Pages 161-170
    18. Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
      Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada
      Pages 171-180

  3. Computational Neuroscience

    1. Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses
      Karim El-Laithy, Martin Bogdan
      Pages 181-190

Other volumes

  1. Artificial Neural Networks – ICANN 2009
    19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I
  2. Artificial Neural Networks – ICANN 2009
    19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II

About these proceedings

Introduction

This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems;  self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.

Keywords

Controller Area Network Support Vector Machine algorithms autonomous vehicles bioinspired computing cognitive systems computational neuroscience computer vision evolutionary learning learning theory machine learning natural language processing neural gas neural networks neuro-fuzzy systems

Editors and affiliations

  • Cesare Alippi
    • 1
  • Marios Polycarpou
    • 2
  • Christos Panayiotou
    • 2
  • Georgios Ellinas
    • 2
  1. 1.Dipartimento di ElettronicaPolitecnico di MilanoMilanoItaly
  2. 2.Department of Electrical and Computer EngineeringUniversity of CyprusNicosiaCyprus

Bibliographic information

  • DOI 10.1007/978-3-642-04274-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04273-7
  • Online ISBN 978-3-642-04274-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349