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Harnessing Classifier Networks – Towards Hierarchical Concept Construction

  • Dominik Ślezak
  • Marcin S. Szczuka
  • Jakub Wróblewski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)

Abstract

The process of construction and tuning of classifier networks is discussed. The idea of relating the basic inputs with the target classification concepts via the internal layers of intermediate concepts is explored. Intuitions and relationships to other approaches, as well as the illustrative examples are provided.

Keywords

Concept Mapping Concept Space Decision Class Weighted Decision Intermediate Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Dominik Ślezak
    • 1
    • 2
  • Marcin S. Szczuka
    • 3
  • Jakub Wróblewski
    • 2
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada
  2. 2.Polish-Japanese Institute of Information TechnologyWarsawPoland
  3. 3.Institute of MathematicsWarsaw UniversityWarsawPoland

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