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Probability Tree Factorisation with Median Free Term

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Combining Soft Computing and Statistical Methods in Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 77))

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Abstract

We study the decomposition of probability trees as a product of factors with reduced domains. We introduce exact and approximate factorisation techniques with respect to a median of proportional sub-trees as an alternative to the factorisation with average free term.

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References

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Author information

Authors and Affiliations

  1. Dpt. Languages and Computation, University of Almería, 04120, Almería, Spain

    Irene Martínez

  2. Dpt. Statistics and Applied Mathematics, University of Almería, 04120, Almería, Spain

    Carmelo Rodríguez & Antonio Salmerón

Authors
  1. Irene Martínez
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  2. Carmelo Rodríguez
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  3. Antonio Salmerón
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Editor information

Editors and Affiliations

  1. Research Unit on Intelligent Data Analysis and Graphical Models, European Centre for Soft Computing Edificio Científico-Tecnológico. 3a Planta, C/ Gonzalo Gutiérrez Quirós s/n, 33600, Mieres, Spain

    Christian Borgelt , Gil González-Rodríguez  & Wolfgang Trutschnig ,  & 

  2. Departamento de Estadística e I.O. y D.M., Universidad de Oviedo, Facultad de Ciencias, C/ Calvo Sotelo s/n, 33007, Oviedo, Spain

    María Asunción Lubiano

  3. Departamento de Estadística e I.O. yD.M., Universidad de Oviedo, Facultad de Ciencias, C/ Calvo Sotelo s/n, 33007, Oviedo, Spain

    María Ángeles Gil

  4. Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Przemysław Grzegorzewski

  5. Systems Research Institute, Polish Academy of Science, Newelska 6, 01-447, Warsaw, Poland

    Olgierd Hryniewicz

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© 2010 Springer-Verlag Berlin Heidelberg

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Martínez, I., Rodríguez, C., Salmerón, A. (2010). Probability Tree Factorisation with Median Free Term. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_57

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  • DOI: https://doi.org/10.1007/978-3-642-14746-3_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14745-6

  • Online ISBN: 978-3-642-14746-3

  • eBook Packages: EngineeringEngineering (R0)

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