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Volumn 95, Issue 1, 2014, Pages 1-9

Machine learning for science and society

Author keywords

[No Author keywords available]

Indexed keywords

POPULATION STATISTICS;

EID: 84897108619     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-013-5425-9     Document Type: Review
Times cited : (81)

References (32)
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    • Brodley, C.1    Smyth, P.2
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    • Partial AUC estimation and regression
    • 10.1111/1541-0420.00071 1210.62152 2004266
    • Dodd, L. E., & Pepe, M. S. (2003). Partial AUC estimation and regression. Biometrics, 59(3), 614-623.
    • (2003) Biometrics , vol.59 , Issue.3 , pp. 614-623
    • Dodd, L.E.1    Pepe, M.S.2
  • 6
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
    • Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery in databases. AI Magazine, 17, 37-54.
    • (1996) AI Magazine , vol.17 , pp. 37-54
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 7
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    • 84866243029 scopus 로고    scopus 로고
    • Bayesian hierarchical modeling for predicting medical conditions
    • 10.1214/11-AOAS522 1243.62036 2976486
    • McCormick, T. H., Rudin, C., & Madigan, D. (2012). Bayesian hierarchical modeling for predicting medical conditions. The Annals of Applied Statistics, 6(2), 652-668.
    • (2012) The Annals of Applied Statistics , vol.6 , Issue.2 , pp. 652-668
    • McCormick, T.H.1    Rudin, C.2    Madigan, D.3
  • 19
    • 0000202718 scopus 로고    scopus 로고
    • Guest editor's introduction: On applied research in machine learning
    • 10.1023/A:1007442505281
    • Provost, F., & Kohavi, R. (1998). Guest editor's introduction: on applied research in machine learning. Machine Learning, 30, 127-132.
    • (1998) Machine Learning , vol.30 , pp. 127-132
    • Provost, F.1    Kohavi, R.2
  • 21
    • 84890597218 scopus 로고    scopus 로고
    • The pitfalls of prediction
    • Ridgeway, G. (2013). The pitfalls of prediction. NIJ Journal, 271, 34-40.
    • (2013) NIJ Journal , vol.271 , pp. 34-40
    • Ridgeway, G.1
  • 24
    • 0032001170 scopus 로고    scopus 로고
    • Learning in the "real world"
    • 10.1023/A:1007448122119
    • Saitta, L., & Neri, F. (1998). Learning in the "real world". Machine Learning, 30, 133-163.
    • (1998) Machine Learning , vol.30 , pp. 133-163
    • Saitta, L.1    Neri, F.2
  • 32
    • 84897108940 scopus 로고    scopus 로고
    • Using random forests to diagnose aviation turbulence
    • Special Issue on ML for Science and Society
    • Williams, J. K. (2013). Using random forests to diagnose aviation turbulence. Machine Learning, Special Issue on ML for Science and Society.
    • (2013) Machine Learning
    • Williams, J.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.