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Volumn , Issue , 2009, Pages 719-724

Report cards for manholes: Eliciting expert feedback for a learning task

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRICAL GRIDS; EVENT PREDICTION; EXPERT FEEDBACK; LEARNING TASKS; MACHINE-LEARNING; MANHATTANS; PROFILING TOOLS; RANKING CRITERION; REPORT CARDS;

EID: 77950835007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.72     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 1
    • 0035251446 scopus 로고    scopus 로고
    • Using data mining methods to build customer profiles
    • G. Adomavicius and A. Tuzhilin. Using data mining methods to build customer profiles. Computer, 34(2):74-82, 2001.
    • (2001) Computer , vol.34 , Issue.2 , pp. 74-82
    • Adomavicius, G.1    Tuzhilin, A.2
  • 7
    • 70450239631 scopus 로고    scopus 로고
    • The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list
    • In press
    • C. Rudin. The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list. Journal of Machine Learning Research, 2009. In press.
    • (2009) Journal of Machine Learning Research
    • Rudin, C.1
  • 8
    • 70450285447 scopus 로고    scopus 로고
    • Predicting manhole events in Manhattan: A case study in extended knowledge discovery
    • Accepted for publication to
    • C. Rudin, R. Passonneau, A. Radeva, H. Dutta, S. Ierome, and D. Isaac. Predicting manhole events in Manhattan : A case study in extended knowledge discovery. Accepted for publication to Machine Learning, 2009.
    • (2009) Machine Learning
    • Rudin, C.1    Passonneau, R.2    Radeva, A.3    Dutta, H.4    Ierome, S.5    Isaac, D.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.