• DocumentCode
    814412
  • Title

    Machine learning in biology: a profile of David Haussler

  • Author

    Hedberg, Sara Reese

  • Volume
    21
  • Issue
    1
  • fYear
    2006
  • Firstpage
    8
  • Lastpage
    10
  • Abstract
    This paper helped initiate the integration of a branch of machine learning theory with machine learning practice, according to Carnegie Mellon´s Tom Mitchell, a world-renowned machine learning researcher and past president of the AAAI. Haussler´s paper helped introduce the AI community to PAC (probably approximately correct) learning - then a new line of theoretical work - and linked it with ongoing AI work in machine learning.
  • Keywords
    biology; learning (artificial intelligence); AI community; Carnegie Mellon Tom Mitchell; David Haussler; PAC; biology; machine learning theory; probably approximately correct; Algorithm design and analysis; Assembly; Bioinformatics; Biology computing; DNA computing; Genomics; Humans; Machine learning; Machine learning algorithms; Sequences; David Haussler; bioinformatics; machine learning;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2006.13
  • Filename
    1588795