Parallel Factorised Algorithms for Mixture Estimation

  • Milan Tichý
  • Bohumil Kovář
Conference paper


This paper describes software aspects of an advisory system based on finite-mixture estimation. Factorised algorithms have been designed. Parallelism is used as a principal approach to acceleration of learning and processing phases. A coarse grain granularity parallelism is used in the first phase of the work. The Parallel Virtual Machine (PVM) is used for parallel implementation.


Sequential Algorithm Recursive Little Square Factorise Algorithm Recursive Little Square Algorithm Parallel Virtual Machine 
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 Wien 2001

Authors and Affiliations

  • Milan Tichý
  • Bohumil Kovář
    • 1
  1. 1.UTIA, AV ČRPrague 8Czech Republic

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