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Volumn 55, Issue 1, 2011, Pages 168-183

Robust weighted kernel logistic regression in imbalanced and rare events data

Author keywords

Classification; Endogenous sampling; Kernel methods; Logistic regression; Truncated Newton

Indexed keywords

CLASSIFICATION; ENDOGENOUS SAMPLING; KERNEL METHODS; LOGISTIC REGRESSION; TRUNCATED NEWTON;

EID: 77956394683     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.06.014     Document Type: Article
Times cited : (110)

References (65)
  • 2
    • 36948999941 scopus 로고    scopus 로고
    • University of California, Irvine. School of Information and Computer Sciences
    • Asuncion, A., Newman, D.J., 2007. UCI machine learning repository, University of California, Irvine. School of Information and Computer Sciences. http://www.ics.uci.edu/~mlearn/MLRepository.html.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 8
    • 84887001725 scopus 로고    scopus 로고
    • Kernel methods and the exponential family
    • Canu, S., Smola, A.J., 2005. Kernel methods and the exponential family. In: ESANN, pp. 447454.
    • (2005) ESANN , pp. 447-454
    • Canu, S.1    Smola, A.J.2
  • 15
    • 33747173311 scopus 로고    scopus 로고
    • Prediction of landslide susceptibility using rare events logistic regression: A case-study in the Flemish Ardennes (Belgium)
    • M.V.D. Eeckhaut, T. Vanwalleghem, J. Poesen, G. Govers, G. Verstraeten, and L. Vandekerckhove Prediction of landslide susceptibility using rare events logistic regression: a case-study in the Flemish Ardennes (Belgium) Geomorphology 76 34 2006 392 410
    • (2006) Geomorphology , vol.76 , Issue.34 , pp. 392-410
    • Eeckhaut, M.V.D.1    Vanwalleghem, T.2    Poesen, J.3    Govers, G.4    Verstraeten, G.5    Vandekerckhove, L.6
  • 18
    • 0023843391 scopus 로고
    • Analysis of hidden units in a layered network trained to classify sonar targets
    • R.P. Gorman, and T.J. Sejnowski Analysis of hidden units in a layered network trained to classify sonar targets Neural Networks 1 1988 75 89
    • (1988) Neural Networks , vol.1 , pp. 75-89
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 21
    • 0035099124 scopus 로고    scopus 로고
    • A solution to the problem of monotone likelihood in cox regression
    • G. Heinze, and M. Schemper A solution to the problem of monotone likelihood in cox regression Biometrics 57 2001 114 119
    • (2001) Biometrics , vol.57 , pp. 114-119
    • Heinze, G.1    Schemper, M.2
  • 23
    • 0007272794 scopus 로고    scopus 로고
    • Efficient estimation and stratified sampling
    • G.W. Imbens, and T. Lancaster Efficient estimation and stratified sampling Journal of Econometrics 74 1996 289 318
    • (1996) Journal of Econometrics , vol.74 , pp. 289-318
    • Imbens, G.W.1    Lancaster, T.2
  • 25
    • 17844410852 scopus 로고    scopus 로고
    • Learning from imbalanced data sets: A comparison of various strategies
    • Japkowicz, N., 2000. Learning from imbalanced data sets: a comparison of various strategies, Tech. Rep. University of DalTech/Dalhousie.
    • (2000) Tech. Rep. University of DalTech/Dalhousie
    • Japkowicz, N.1
  • 26
    • 0033907286 scopus 로고    scopus 로고
    • Multiple comparison in induction algorithms
    • D. Jensen, and P.R. Cohen Multiple comparison in induction algorithms Machine Learning 38 2000 309 338
    • (2000) Machine Learning , vol.38 , pp. 309-338
    • Jensen, D.1    Cohen, P.R.2
  • 29
    • 0035618101 scopus 로고    scopus 로고
    • Explaining rare events in international relations
    • G. King, and L. Zeng Explaining rare events in international relations International Organization 55 3 2001 693 715
    • (2001) International Organization , vol.55 , Issue.3 , pp. 693-715
    • King, G.1    Zeng, L.2
  • 30
    • 0034767648 scopus 로고    scopus 로고
    • Improving forecast of state failure
    • G. King, and L. Zeng Improving forecast of state failure World Politics 53 4 2001 623 658
    • (2001) World Politics , vol.53 , Issue.4 , pp. 623-658
    • King, G.1    Zeng, L.2
  • 31
    • 4544259831 scopus 로고    scopus 로고
    • Logistic regression in rare events data
    • G. King, and L. Zeng Logistic regression in rare events data Political Analysis 9 2001 137 163
    • (2001) Political Analysis , vol.9 , pp. 137-163
    • King, G.1    Zeng, L.2
  • 33
    • 33845197904 scopus 로고    scopus 로고
    • Making logistic regression a core data mining tool: A practical investigation of accuracy, speed, and simplicity
    • Komarek, P., Moore, A., 2005. Making logistic regression a core data mining tool: a practical investigation of accuracy, speed, and simplicity. Tech. Rep. Carnegie Mellon University.
    • (2005) Tech. Rep. Carnegie Mellon University
    • Komarek, P.1    Moore, A.2
  • 34
    • 0031998121 scopus 로고    scopus 로고
    • Machine learning for the detection of oil spills in satellite radar images
    • M. Kubat, R.C. Holte, and S. Matwin Machine learning for the detection of oil spills in satellite radar images Machine Learning 1998 195 215
    • (1998) Machine Learning , pp. 195-215
    • Kubat, M.1    Holte, R.C.2    Matwin, S.3
  • 36
    • 30044443448 scopus 로고    scopus 로고
    • A neural network for detecting and diagnosing tornadic circulations using the mesocyclone detection and near storm environment algorithms
    • American Meteorological Society San Diego, CA
    • V. Lakshmanan, G. Stumpf, and A. Witts A neural network for detecting and diagnosing tornadic circulations using the mesocyclone detection and near storm environment algorithms 21st International Conference on Information Processing Systems 2005 American Meteorological Society San Diego, CA CD-ROM, J52.2
    • (2005) 21st International Conference on Information Processing Systems
    • Lakshmanan, V.1    Stumpf, G.2    Witts, A.3
  • 41
    • 58749109982 scopus 로고    scopus 로고
    • A comparative study of the bias corrected estimates in logistic regression
    • T. Maiti, and V. Pradhan A comparative study of the bias corrected estimates in logistic regression Statistical Methods in Medical Research 17 6 2008 621 634
    • (2008) Statistical Methods in Medical Research , vol.17 , Issue.6 , pp. 621-634
    • Maiti, T.1    Pradhan, V.2
  • 44
    • 0000847211 scopus 로고
    • The estimation of choice probabilities from choice based samples
    • C.F. Manski, and S.R. Lerman The estimation of choice probabilities from choice based samples Econometrica 45 8 1977 1977 1988
    • (1977) Econometrica , vol.45 , Issue.8 , pp. 1977-1988
    • Manski, C.F.1    Lerman, S.R.2
  • 46
    • 0004183165 scopus 로고
    • M. Milgate, J. Eatwell, P.K. Newman, W. W. Norton & Company
    • M. Milgate, J. Eatwell, P.K. Newman, Econometrics 1990 W. W. Norton & Company
    • (1990) Econometrics
  • 47
    • 21244446518 scopus 로고    scopus 로고
    • A comparison of numerical optimizers for logistic regression
    • Carnegie Mellon University
    • Minka, T.P., 2003. A comparison of numerical optimizers for logistic regression. Tech. Rep. Department of Statistics, Carnegie Mellon University.
    • (2003) Tech. Rep. Department of Statistics
    • Minka, T.P.1
  • 48
    • 37249080278 scopus 로고    scopus 로고
    • Penalized logistic regression for detecting gene interactions
    • M.Y. Park, and T. Hastie Penalized logistic regression for detecting gene interactions Biostatistics 9 1 2008 30 50
    • (2008) Biostatistics , vol.9 , Issue.1 , pp. 30-50
    • Park, M.Y.1    Hastie, T.2
  • 49
    • 35048878309 scopus 로고    scopus 로고
    • Learning with class skews and small disjuncts
    • Prati, R.C., Batista, G.E.A.P.A., Monard, M.C., 2004. Learning with class skews and small disjuncts. In: SBIA, pp. 296306.
    • (2004) SBIA , pp. 296-306
    • Prati, R.C.1    Batista, G.E.A.P.A.2    Monard, M.C.3
  • 50
    • 33846265021 scopus 로고    scopus 로고
    • Estimating rate of occurrence of rare events with empirical Bayes: A railway application
    • J. Quigley, T. Bedford, and L. Walls Estimating rate of occurrence of rare events with empirical Bayes: a railway application Reliability Engineering & System Safety 92 5 2007 619 627
    • (2007) Reliability Engineering & System Safety , vol.92 , Issue.5 , pp. 619-627
    • Quigley, J.1    Bedford, T.2    Walls, L.3
  • 60
    • 0035539811 scopus 로고    scopus 로고
    • Precision of warm's weighted likelihood for a polytomous model in computerized adaptive testing
    • S. Wang, and T. Wang Precision of warm's weighted likelihood for a polytomous model in computerized adaptive testing Applied Psychological Measurement 25 4 2001 317 331
    • (2001) Applied Psychological Measurement , vol.25 , Issue.4 , pp. 317-331
    • Wang, S.1    Wang, T.2
  • 61
    • 62949122697 scopus 로고    scopus 로고
    • Modeling for optimal probability prediction
    • Wang, Y., Witten, I.H., 2002. Modeling for optimal probability prediction. In: ICML, pp. 650657.
    • (2002) ICML , pp. 650-657
    • Wang, Y.1    Witten, I.H.2
  • 62
    • 20844458491 scopus 로고    scopus 로고
    • Mining with rarity: A unifying framework
    • G.M. Weiss Mining with rarity: a unifying framework SIGKDD Explorations Newsletter 6 1 2004 7 19
    • (2004) SIGKDD Explorations Newsletter , vol.6 , Issue.1 , pp. 7-19
    • Weiss, G.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.