• DocumentCode
    3478787
  • Title

    Learning subjective probabilities from a small data set

  • Author

    Moraga, Claudio ; Huang, Chongfu

  • Author_Institution
    Dept. Artificial Intelligence, Tech. Univ. of Madrid, Spain
  • fYear
    2003
  • fDate
    16-19 May 2003
  • Firstpage
    355
  • Lastpage
    360
  • Abstract
    A method to learn subjective probabilities from sparse data is discussed. The method is based on the principle of Information Diffusion and exhibits a complexity O(n logn). A way of generating families of Information Diffusion functions is discussed. Applications on real data and varying number of samples are shown.
  • Keywords
    computational complexity; fuzzy set theory; probability; information diffusion; sparse data set; subjective probabilities; Artificial intelligence; Economic forecasting; Fuzzy sets; Informatics; Learning; Logic; Terrorism; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multiple-Valued Logic, 2003. Proceedings. 33rd International Symposium on
  • ISSN
    0195-623X
  • Print_ISBN
    0-7695-1918-0
  • Type

    conf

  • DOI
    10.1109/ISMVL.2003.1201428
  • Filename
    1201428
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3478787