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Volumn 2, Issue , 2012, Pages 1431-1438

Online structured prediction via coactive learning

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN USERS; ONLINE LEARNING; STRUCTURED PREDICTION; USER BEHAVIORS;

EID: 84867138308     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (19)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • Auer, P., Cesa-Bianchi, N., and Fischer, P. Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47(2-3):235-256, 2002a.
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 4
    • 49749086487 scopus 로고    scopus 로고
    • Scalable collaborative filtering with jointly derived neighborhood interpolation weights
    • Bell, R. M. and Koren, Y. Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In ICDM, 2007.
    • (2007) ICDM
    • Bell, R.M.1    Koren, Y.2
  • 6
    • 80053460837 scopus 로고    scopus 로고
    • Yahoo! learning to rank challenge overview
    • Chapelle, O. and Chang, Y. Yahoo! learning to rank challenge overview. JMLR - Proceedings Track, 14:1-24, 2011.
    • (2011) JMLR - Proceedings Track , vol.14 , pp. 1-24
    • Chapelle, O.1    Chang, Y.2
  • 7
    • 31844453751 scopus 로고    scopus 로고
    • Preference learning with gaussian processes
    • Chu, W. and Ghahramani, Z. Preference learning with gaussian processes. In ICML, 2005.
    • (2005) ICML
    • Chu, W.1    Ghahramani, Z.2
  • 8
    • 1942515261 scopus 로고    scopus 로고
    • Pranking with ranking
    • Crammer, K. and Singer, Y. Pranking with ranking. In NIPS, 2001.
    • (2001) NIPS
    • Crammer, K.1    Singer, Y.2
  • 9
    • 20744454447 scopus 로고    scopus 로고
    • Online convex optimization in the bandit setting: Gradient descent without a gradient
    • Flaxman, A., Kalai, A. T., and McMahan, H. B. Online convex optimization in the bandit setting: gradient descent without a gradient. In SODA, 2005.
    • (2005) SODA
    • Flaxman, A.1    Kalai, A.T.2    McMahan, H.B.3
  • 13
    • 67650044839 scopus 로고    scopus 로고
    • Beyond the session timeout: Automatic hierarchical segmentation of search topics in query logs
    • Jones, R. and Klinkner, K. Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs. In CIKM, 2008.
    • (2008) CIKM
    • Jones, R.1    Klinkner, K.2
  • 17
    • 71149114227 scopus 로고    scopus 로고
    • Interactively optimizing information retrieval systems as a dueling bandits problem
    • Yue, Y. and Joachims, T. Interactively optimizing information retrieval systems as a dueling bandits problem. In ICML, 2009.
    • (2009) ICML
    • Yue, Y.1    Joachims, T.2
  • 19
    • 1942484421 scopus 로고    scopus 로고
    • Online convex programming and generalized infinitesimal gradient ascent
    • Zinkevich, M. Online convex programming and generalized infinitesimal gradient ascent. In ICML, 2003.
    • (2003) ICML
    • Zinkevich, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.