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Volumn , Issue , 2009, Pages 401-408

Generative and discriminative learning with unknown labeling bias

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; GEOGRAPHICAL DISTRIBUTION;

EID: 84858760490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (19)
  • 2
    • 27144549260 scopus 로고    scopus 로고
    • Editorial: Special issue on learning from imbalanced data sets
    • Chawla, N. V., N. Japkowicz, and A. Kolcz (2004). Editorial: special issue on learning from imbalanced data sets. SIGKDD Explorations 6(1), 1-6.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 1-6
    • Chawla, N.V.1    Japkowicz, N.2    Kolcz, A.3
  • 3
    • 34250663051 scopus 로고    scopus 로고
    • Maximum entropy density estimation with generalized regularization and an application to species distribution modeling
    • Dudík, M., S. J. Phillips, and R. E. Schapire (2007). Maximum entropy density estimation with generalized regularization and an application to species distribution modeling. J. Machine Learning Res. 8, 1217-1260. (Pubitemid 46945617)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1217-1260
    • Dudik, M.1    Phillips, S.J.2    Schapire, R.E.3
  • 4
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith, J., C. H. Graham, et al. (2006). Novel methods improve prediction of species' distributions from occurrence data. Ecography 29(2), 129-151.
    • (2006) Ecography , vol.29 , Issue.2 , pp. 129-151
    • Elith, J.1    Graham, C.H.2
  • 6
    • 6344274901 scopus 로고    scopus 로고
    • Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
    • DOI 10.1214/009053604000000553
    • Grünwald, P. D. and A. P. Dawid (2004). Game theory, maximum entropy, minimum discrepancy, and robust Bayesian decision theory. Ann. Stat. 32(4), 1367-1433. (Pubitemid 41250271)
    • (2004) Annals of Statistics , vol.32 , Issue.4 , pp. 1367-1433
    • Grunwald, P.D.1    Philip Dawid, A.2
  • 7
    • 9644281091 scopus 로고    scopus 로고
    • Support vector machines for predicting distribution of Sudden Oak Death in California
    • DOI 10.1016/j.ecolmodel.2004.07.012, PII S0304380004004077
    • Guo, Q.,M. Kelly, and C. H. Graham (2005). Support vector machines for predicting distribution of Sudden Oak Death in California. Ecol. Model. 182, 75-90. (Pubitemid 39568693)
    • (2005) Ecological Modelling , vol.182 , Issue.1 , pp. 75-90
    • Guo, Q.1    Kelly, M.2    Graham, C.H.3
  • 9
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica 47(1), 153-161.
    • (1979) Econometrica , vol.47 , Issue.1 , pp. 153-161
    • Heckman, J.J.1
  • 10
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Jaynes, E. T. (1957). Information theory and statistical mechanics. Phys. Rev. 106(4), 620-630.
    • (1957) Phys. Rev. , vol.106 , Issue.4 , pp. 620-630
    • Jaynes, E.T.1
  • 12
    • 41449100102 scopus 로고    scopus 로고
    • Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation
    • DOI 10.1111/j.0906-7590.2008.5203.x
    • Phillips, S. J. and M. Dudík (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31(2), 161-175. (Pubitemid 351457533)
    • (2008) Ecography , vol.31 , Issue.2 , pp. 161-175
    • Phillips, S.J.1    Dudik, M.2
  • 13
    • 85162069572 scopus 로고    scopus 로고
    • Sample selection bias and presence-only models of species distributions: Implications for selection of background and pseudo-absences
    • To appear
    • Phillips, S. J., M. Dudík, J. Elith, C. H. Graham, A. Lehmann, J. Leathwick, and S. Ferrier. Sample selection bias and presence-only models of species distributions: Implications for selection of background and pseudo-absences. Ecol. Appl. To appear.
    • Ecol. Appl.
    • Phillips, S.J.1    Dudík, M.2    Elith, J.3    Graham, C.H.4    Lehmann, A.5    Leathwick, J.6    Ferrier, S.7
  • 16
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • Shimodaira, H. (2000). Improving predictive inference under covariate shift by weighting the log-likelihood function. J. Stat. Plan. Infer. 90(2), 227-244.
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    • Shimodaira, H.1
  • 19
    • 0037202451 scopus 로고    scopus 로고
    • Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns
    • DOI 10.1016/S0304-3800(02)00199-0, PII S0304380002001990
    • Zaniewski, A. E., A. Lehmann, and J. M. Overton (2002). Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns. Ecol. Model. 157, 261-280. (Pubitemid 35255419)
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 261-280
    • Zaniewski, A.E.1    Lehmann, A.2    Overton, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.