• DocumentCode
    3647514
  • Title

    Topic models and advanced algorithms for profiling of knowledge in scientific papers

  • Author

    V. Jelisavčić;B. Furlan;Jelica Protić;Veljko Milutinović

  • Author_Institution
    Mathematical Institute of the Serbian Academy of Sciences and Arts/11000, Belgrade, Serbia
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1030
  • Lastpage
    1035
  • Abstract
    Survey of probabilistc topic models is presented with emphasis on fundamentally different approaches used in modeling. Introduced classification differs from earlier efforts, providing a complementary view of the field. Purpose of this survey is to provide a brief overview of the current probailistic topic models as well as an inspiration for future research.
  • Keywords
    "Mathematical model","Hidden Markov models","Data models","Computational modeling","Probabilistic logic","Equations","Training"
  • Publisher
    ieee
  • Conference_Titel
    MIPRO, 2012 Proceedings of the 35th International Convention
  • Print_ISBN
    978-1-4673-2577-6
  • Type

    conf

  • Filename
    6240795