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Volumn 65, Issue 2, 2009, Pages 554-563

Presence-only data and the em algorithm

Author keywords

Boosted trees; EM algorithm; Logistic model; Presence only data; Use availability data

Indexed keywords

IMAGE SEGMENTATION; TREES (MATHEMATICS);

EID: 66949112586     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01116.x     Document Type: Article
Times cited : (267)

References (21)
  • 2
    • 84864038934 scopus 로고    scopus 로고
    • Correcting sample selection bias in maximum entropy density estimation
    • and. In. Y. Weiss. B. Schölkopf. and. J. Platt. eds. Cambridge, MA. MIT Press.
    • Dudík, M., Schapire, R., and Phillips, S. (2006). Correcting sample selection bias in maximum entropy density estimation. In Advances in Neural Information Processing Systems 18, Y. Weiss, B. Schölkopf, and J. Platt (eds 323 330. Cambridge, MA : MIT Press.
    • (2006) Advances in Neural Information Processing Systems 18 , pp. 323-330
    • Dudík, M.1    Schapire, R.2    Phillips, S.3
  • 4
    • 1942456846 scopus 로고    scopus 로고
    • An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
    • DOI 10.1111/j.0021-8901.2004.00881.x
    • Engler, R., Guisan, A., and Rechsteiner, L. (2004). An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology 41, 263 274. (Pubitemid 38492495)
    • (2004) Journal of Applied Ecology , vol.41 , Issue.2 , pp. 263-274
    • Engler, R.1    Guisan, A.2    Rechsteiner, L.3
  • 5
    • 0036934018 scopus 로고    scopus 로고
    • Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling
    • DOI 10.1023/A:1021374009951
    • Ferrier, S., Drielsma, M., Manion, G., and Watson, G. (2002). Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling. Biodiversity and Conservation 11, 2309 2338. (Pubitemid 36072840)
    • (2002) Biodiversity and Conservation , vol.11 , Issue.12 , pp. 2309-2338
    • Ferrier, S.1    Drielsma, M.2    Manion, G.3    Watson, G.4
  • 7
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. H. (2001). Greedy function approximation: The gradient boosting machine. Annals of Statistics 29, 1189 1232. (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 9
    • 12144266865 scopus 로고    scopus 로고
    • Use and interpretation of logistic regression in habitat-selection studies
    • DOI 10.2193/0022-541X(2004)068[0774:UAIOLR]2.0.CO;2
    • Keating, K. A. and Cherry, S. (2004). Use and interpretation of logistic regression in habitat-selection studies. Journal of Wildlife Management 68, 774 789. (Pubitemid 40107285)
    • (2004) Journal of Wildlife Management , vol.68 , Issue.4 , pp. 774-789
    • Keating, K.A.1    Cherry, S.2
  • 10
    • 0009206367 scopus 로고    scopus 로고
    • Case-control studies with contaminated controls
    • Lancaster, T. and Imbens, G. (1996). Case-control studies with contaminated controls. Journal of Econometrics 71, 145 160. (Pubitemid 126348854)
    • (1996) Journal of Econometrics , vol.71 , Issue.1-2 , pp. 145-160
    • Lancaster, T.1    Imbens, G.2
  • 11
    • 33645954864 scopus 로고    scopus 로고
    • Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
    • and
    • Leathwick, J. R., Rowe, D., Richardson, J., Elith, J., and Hastie, T. (2005). Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish. Freshwater Biology 50, 2034 2051.
    • (2005) Freshwater Biology , vol.50 , pp. 2034-2051
    • Leathwick, J.R.1    Rowe, D.2    Richardson, J.3    Elith, J.4    Hastie, T.5
  • 12
    • 33749591316 scopus 로고    scopus 로고
    • Variation in demersal fish species richness in the oceans surrounding New Zealand: An analysis using boosted regression trees
    • Leathwick, J. R., Elith, J., Francis, M. P., Hastie, T., and Taylor, P. (2006). Variation in demersal fish species richness in the oceans surrounding New Zealand: An analysis using boosted regression trees. Marine Ecology Progress Series 321, 267 281. (Pubitemid 44544793)
    • (2006) Marine Ecology Progress Series , vol.321 , pp. 267-281
    • Leathwick, J.R.1    Elith, J.2    Francis, M.P.3    Hastie, T.4    Taylor, P.5
  • 13
    • 0030302619 scopus 로고    scopus 로고
    • Relationships among grizzly bears, roads and habitat in the Swan Mountains, Montana
    • and
    • Mace, R. D., Waller, J. S., Manley, T. L., Lyon, L. J., and Zuuring, H. (1996). Relationships among grizzly bears, roads and habitat in the Swan Mountains, Montana. The Journal of Applied Ecology 33, 1395 1404.
    • (1996) The Journal of Applied Ecology , vol.33 , pp. 1395-1404
    • MacE, R.D.1    Waller, J.S.2    Manley, T.L.3    Lyon, L.J.4    Zuuring, H.5
  • 16
    • 33646242418 scopus 로고    scopus 로고
    • Modelling distribution and abundance with presence-only data
    • DOI 10.1111/j.1365-2664.2005.01112.x
    • Pearce, J. L. and Boyce, M. S. (2006). Modeling distribution and abundance with presence-only data. Journal of Applied Ecology 43, 405 412. (Pubitemid 43725545)
    • (2006) Journal of Applied Ecology , vol.43 , Issue.3 , pp. 405-412
    • Pearce, J.L.1    Boyce, M.S.2
  • 17
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • DOI 10.1016/j.ecolmodel.2005.03.026, PII S030438000500267X
    • Phillips, S. J., Anderson, R. P., and Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231 259. (Pubitemid 41680650)
    • (2006) Ecological Modelling , vol.190 , Issue.3-4 , pp. 231-259
    • Phillips, S.J.1    Anderson, R.P.2    Schapire, R.E.3
  • 18
    • 15944423629 scopus 로고    scopus 로고
    • Factors affecting species distribution predictions: A simulation modeling experiment
    • Reese, G. C., Wilson, K. R., Hoeting, J. A., and Flather, C. H. (2005). Factors affecting species distribution predictions: A simulation modeling experiment. Ecological Applications 15, 554 564. (Pubitemid 40441297)
    • (2005) Ecological Applications , vol.15 , Issue.2 , pp. 554-564
    • Reese, G.C.1    Wilson, K.R.2    Hoeting, J.A.3    Flather, C.H.4
  • 20
    • 0026293263 scopus 로고
    • Habitat: A procedure for modeling a disjoint environmental envelope for a plant or animal species
    • and
    • Walker, P. A. and Cocks, K. D. (1991). habitat: A procedure for modeling a disjoint environmental envelope for a plant or animal species. Global Ecology and Biogeography Letters 1, 108 118.
    • (1991) Global Ecology and Biogeography Letters , vol.1 , pp. 108-118
    • Walker, P.A.1    Cocks, K.D.2
  • 21
    • 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., Lehmann, A., and Overton, J. M. (2002). Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns. Ecological Modelling 157, 261 280. (Pubitemid 35255419)
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 261-280
    • Zaniewski A.Elizabeth1    Lehmann, A.2    Overton, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.