• DocumentCode
    2069485
  • Title

    Research on the characteristic of the probabilistic outputs via random ECOC

  • Author

    Wang, Xiaodan ; Zhou, Jindeng

  • Author_Institution
    Dept. of Comput. Eng., Air Force Eng. Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    Error-correcting output codes (ECOC) is an efficient method to solve the problem of multi-class classification, and how to get the accurate probability estimation via ECOC is also attractive for many applications. The characteristic of the probabilistic outputs via random ECOC is analyzed in this paper, and the proof is given for that the probability output based on random ECOC is the unbiased estimation. Experimental results validate the correctness of our conclusion.
  • Keywords
    error correction codes; estimation theory; probability; error-correcting output codes; multiclass classification problem; probabilistic output characteristics; probability estimation; random ECOC; Biological system modeling; Encoding; Estimation; Learning; Noise; Probabilistic logic; Support vector machines; Error-correcting output codes; Multi-class classification; Probability estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6788-4
  • Type

    conf

  • DOI
    10.1109/PIC.2010.5687435
  • Filename
    5687435