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  • © 2001

Data Fusion and Perception

Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 431)

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Table of contents (12 chapters)

  1. Front Matter

    Pages ii-x
  2. Learning and Space Structures

    1. Front Matter

      Pages 1-1
    2. Statistical Learning and Kernel Methods

      • Bernhard Schölkopf
      Pages 3-24
    3. A combined Bayes — maximum likelihood method for regression

      • Alexei Chervonenkis, Alex Gammerman, Mark Herbster
      Pages 25-49
  3. Data Fusion I

    1. Front Matter

      Pages 51-51
    2. Possibility Theory in Information Fusion

      • Didier Dubois, Henri Prade
      Pages 53-76
    3. Information Fusion in Neuro-Fuzzy Systems

      • Detlef D. Nauck, Rudolf Kruse
      Pages 77-90
    4. Qualitative Aggregation of Bayesian Networks

      • José del Sagrado, Serafín Moral
      Pages 91-108
    5. Classification and Fusion

      • Hans-Joachim Lenz, Mattis Neiling
      Pages 109-120
    6. On Information Fusion in the Life-Sciences

      • Olaf Wolkenhauer
      Pages 121-134
  4. Emotions and Perceptions

    1. Front Matter

      Pages 169-169
    2. Facets of Emotions in Humans and Artifacts

      • Robert Trappl, Paolo Petta
      Pages 171-181
  5. Data Fusion II

    1. Front Matter

      Pages 183-183
    2. The Soul of A New Machine: The Soccer Robot Team of the FU Berlin

      • Raúl Rojas, Sven Behnke, Peter Ackers, Bernhard Frötschl, Wolf Linstrot, Manuel de Melo et al.
      Pages 185-207
    3. Fuzzy quantifiers: a linguistic technique for data fusion

      • Alois Knoll, Ingo Glöckner
      Pages 209-236
    4. Transformation of attribute space by function decomposition

      • Janez Demšar, Blaž Zupan, Ivan Bratko
      Pages 237-247
  6. Back Matter

    Pages 249-250

About this book

This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.

Editors and Affiliations

  • Dipartimento di Matematica e Informatica, Università di Udine, Udine, Italy

    Giacomo Riccia

  • Inst. für Wirtschaftsinformatik, Freie Universität Berlin, Berlin, Germany

    Hans-Joachim Lenz

  • Institut für Informatik, Otto-von-Guericke-Universität, Magdeburg, Germany

    Rudolf Kruse

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access