• DocumentCode
    595176
  • Title

    I don´t know the label: Active learning with blind knowledge

  • Author

    Meng Fang ; Xingquan Zhu

  • Author_Institution
    Centre for Quantum Comput. & Intell. Syst., Univ. of Technol. Sydney, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2238
  • Lastpage
    2241
  • Abstract
    Active learning traditionally assumes that the oracle is capable of providing labeling information for each query instance. In reality, the oracle might have no information for some queries and cannot provide accurate label but only answers “I don´t know the label”. We focus on this problem and provide a unified objective function to ensure that each query instance submitted to the oracle is the one mostly needed for labeling and the oracle should also have sufficient knowledge to label. Experimental results on real-world and benchmark data sets demonstrate the effectiveness of the proposed design for supporting active learning using oracles with blind knowledge.
  • Keywords
    image classification; learning (artificial intelligence); query processing; active learning; benchmark data sets; blind knowledge; labeling information; oracle; query instance; real-world data sets; unified objective function; Accuracy; Benchmark testing; Entropy; Knowledge based systems; Labeling; Linear programming; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460609