Learning, Networks and Statistics

  • Giacomo Della Riccia
  • Hans-Joachim Lenz
  • Rudolf Kruse

Part of the International Centre for Mechanical Sciences book series (CISM, volume 382)

Table of contents

  1. Front Matter
    Pages ii-viii
  2. Neural Nets

  3. Statistics and Networks

  4. Classification and Data Mining

    1. Front Matter
      Pages 65-65
    2. H. Hellendoorn
      Pages 87-104
    3. F. Klawonn, R. Kruse, H. Timm
      Pages 105-119
    4. Y. Kodratoff
      Pages 135-160
  5. Machine Learning

  6. Back Matter
    Pages 227-230

About these proceedings

Introduction

The contents of these proceedings reflect the intention of the organizers of the workshop to bring together scientists and engineers having a strong interest in interdisciplinary work in the fields of computer science, mathematics and applied statistics. Results of this collaboration are illustrated in problems dealing with neural nets, statistics and networks, classification and data mining, and (machine) learning.

Keywords

algorithms case-based reasoning classification computer computer vision data mining learning machine learning mathematics networks robot robotics simulation statistics visualization

Editors and affiliations

  • Giacomo Della Riccia
    • 1
  • Hans-Joachim Lenz
    • 2
  • Rudolf Kruse
    • 3
  1. 1.Dip. di Matematica e InformaticaUniversity of UdineUdineItaly
  2. 2.Institut für Statistik und ÖkonometrieFree Universität of BerlinBerlinGermany
  3. 3.University of MagdeburgMagdeburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-2668-4
  • Copyright Information CISM Udine 1997
  • Publisher Name Springer, Vienna
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-211-82910-3
  • Online ISBN 978-3-7091-2668-4
  • Series Print ISSN 0254-1971
  • Series Online ISSN 2309-3706
  • About this book
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