• DocumentCode
    1917346
  • Title

    A Machine Learning Perspective on Predictive Coding with PAQ8

  • Author

    Knoll, Byron ; de Freitas, Nando

  • Author_Institution
    Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2012
  • fDate
    10-12 April 2012
  • Firstpage
    377
  • Lastpage
    386
  • Abstract
    PAQ8 makes use of several simple machine learning models and algorithms. We show how understanding PAQ8 enables us to improve the algorithms. We also present a broad range of new applications of PAQ8 to machine learning tasks including language modeling and adaptive text prediction, adaptive game playing, classification, and lossy compression using features acquired via unsupervised learning.
  • Keywords
    data compression; learning (artificial intelligence); pattern classification; text analysis; PAQ8; adaptive game playing; adaptive text prediction; classification; language modeling; lossy compression; machine learning algorithms; machine learning models; machine learning perspective; predictive coding; unsupervised learning; Adaptation models; Context; History; Image coding; Mixers; Prediction algorithms; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2012
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4673-0715-4
  • Type

    conf

  • DOI
    10.1109/DCC.2012.44
  • Filename
    6189269
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1917346