• DocumentCode
    240547
  • Title

    Combined linguistic and sensor models for machine learning

  • Author

    Ilin, Roman

  • Author_Institution
    Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    24
  • Lastpage
    30
  • Abstract
    This work builds on a cognitive theory called dynamic logic and considers the relationship between language and cognition. We explore the idea of dual models that combine linguistic and sensor features. We demonstrate that simultaneous learning of textual and image data results in formation of meaningful concepts and subsequent improvement in concept recognition.
  • Keywords
    learning (artificial intelligence); pattern recognition; sensor fusion; cognitive theory; concept recognition; dynamic logic; image data learning; linguistic model; machine learning; sensor model; textual data learning; Acceleration; Computational modeling; Data models; Mathematical model; Numerical models; Pragmatics; Vectors; Dynamic Logic; LUPI; Language and Cognition; Unsupervised Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CCMB.2014.7020690
  • Filename
    7020690