• DocumentCode
    1086672
  • Title

    Bootstrap - Inspired Techniques in Computation Intelligence

  • Author

    Polikar, Robi

  • Author_Institution
    Rowan Univ., Glassboro
  • Volume
    24
  • Issue
    4
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    59
  • Lastpage
    72
  • Abstract
    This article is about the success story of a seemingly simple yet extremely powerful approach that has recently reached a celebrity status in statistical and engineering sciences. The hero of this story - bootstrap resampling - is relatively young, but the story itself is a familiar one within the scientific community: a mathematician or a statistician conceives and formulates a theory that is first developed by fellow mathematicians and then brought to fame by other professionals, typically engineers, who point to many applications that can benefit from just such an approach. Signal processing boasts some of the finest examples of such stories, such as the classic story of Fourier transforms or the more contemporary tale of wavelet transforms.
  • Keywords
    computer bootstrapping; learning (artificial intelligence); signal processing; Fourier transforms; bootstrap resampling; computational intelligence; computer bootstrapping; signal processing; wavelet transforms; Competitive intelligence; Computational intelligence; Data engineering; Fellows; Fourier transforms; Power engineering and energy; Power engineering computing; Signal processing; Signal processing algorithms; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.4286565
  • Filename
    4286565