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Volumn , Issue , 2009, Pages 1457-1462

Efficient online learning and prediction of users' desktop actions

Author keywords

[No Author keywords available]

Indexed keywords

E-LEARNING; HUMAN COMPUTER INTERACTION;

EID: 78751692962     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (17)
  • 1
    • 33746078107 scopus 로고    scopus 로고
    • Fewer clicks and less frustration: Reducing the cost of reaching the right folder
    • X. Bao, J. Herlocker, and T. Dietterich. Fewer clicks and less frustration: Reducing the cost of reaching the right folder. In IUI, 2006.
    • (2006) IUI
    • Bao, X.1    Herlocker, J.2    Dietterich, T.3
  • 4
    • 0142228873 scopus 로고    scopus 로고
    • A family of additive online algorithms for category ranking
    • K. Crammer and Y. Singer. A family of additive online algorithms for category ranking. Jouornal of Machine Learning Research, 3:1025-1058, 2003.
    • (2003) Jouornal of Machine Learning Research , vol.3 , pp. 1025-1058
    • Crammer, K.1    Singer, Y.2
  • 6
    • 26444488864 scopus 로고    scopus 로고
    • Tasktracer: A desktop environment to support multi-tasking knowledge workers
    • New York, NY, USA, ACM
    • A. Dragunov, T. Dietterich, K. Johnsrude, M. McLaughlin, L. Li, and J. Herlocker. Tasktracer: a desktop environment to support multi-tasking knowledge workers. In IUI, pages 75-82, New York, NY, USA, 2005. ACM.
    • (2005) IUI , pp. 75-82
    • Dragunov, A.1    Dietterich, T.2    Johnsrude, K.3    McLaughlin, M.4    Li, L.5    Herlocker, J.6
  • 9
    • 0002007487 scopus 로고    scopus 로고
    • Principles of mixed-initiative user interfaces
    • Eric Horvitz. Principles of mixed-initiative user interfaces. In ACM CHI, 1999.
    • (1999) ACM CHI
    • Horvitz, E.1
  • 11
    • 85062942064 scopus 로고    scopus 로고
    • Predicting UNIX command lines: Adjusting to user patterns
    • B. Korvemaker and R. Greiner. Predicting UNIX command lines: Adjusting to user patterns. In AAAI/IAAI, 2000.
    • (2000) AAAI/IAAI
    • Korvemaker, B.1    Greiner, R.2
  • 13
    • 67449134816 scopus 로고    scopus 로고
    • On updates that constrain the number of connections of features during learning
    • O. Madani and J. Huang. On updates that constrain the number of connections of features during learning. In ACM KDD, 2008.
    • (2008) ACM KDD
    • Madani, O.1    Huang, J.2
  • 14
    • 84980367155 scopus 로고    scopus 로고
    • Optimization, Maxent Models, and Conditional Estimation without Magic
    • C. Manning and D. Klein. Optimization, Maxent Models, and Conditional Estimation without Magic. Tutorial at HLT-NAACL and ACL, 2003.
    • (2003) Tutorial at HLT-NAACL and ACL
    • Manning, C.1    Klein, D.2
  • 15
    • 0000241978 scopus 로고    scopus 로고
    • Two decades of statistical language modeling: Where do we go from here?
    • R. Rosenfeld. Two decades of statistical language modeling: Where do we go from here? IEEE, 88(8), 2000.
    • (2000) IEEE , vol.88 , Issue.8
    • Rosenfeld, R.1
  • 16
    • 0010637125 scopus 로고    scopus 로고
    • Incremental learning in SwiftFile
    • R. B. Segal and J. O. Kephart. Incremental learning in SwiftFile. In ICML, 2000.
    • (2000) ICML
    • Segal, R.B.1    Kephart, J.O.2
  • 17
    • 33746089186 scopus 로고    scopus 로고
    • A hybrid learning system for recognizing user tasks from desktop activities and email messages
    • J. Shen, L. Li, T. Dietterich, and J. Herlocker. A hybrid learning system for recognizing user tasks from desktop activities and email messages. In IUI, 2006.
    • (2006) IUI
    • Shen, J.1    Li, L.2    Dietterich, T.3    Herlocker, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.