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Volumn 1857 LNCS, Issue , 2000, Pages 220-229

Boosting of tree-based classifiers for predictive risk modeling in GIS

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; ECOLOGY; GEOGRAPHIC INFORMATION SYSTEMS; RISK MANAGEMENT;

EID: 84867079959     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45014-9_21     Document Type: Conference Paper
Times cited : (9)

References (11)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging Predictors. Machine Learning. 24(2) (1996) 123-140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Schapire, R., Freund, Y., Bartlett, P., and Lee W.: Boosting the margin: a new explanation for the effectiveness of voting methods. The Annals of Statistics 26(5) (1998) 1651-1686
    • (1998) The Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.1    Freund, Y.2    Bartlett, P.3    Lee, W.4
  • 6
    • 0030279355 scopus 로고    scopus 로고
    • Classification tree methods for analysis of mesoscale distribution of ixodes ricinus (acari: Ixodidae) in trentino, Italian alps
    • Merler, S., Furlanello, C., Chemini, C., and Nicolini, G.: Classification tree methods for analysis of mesoscale distribution of ixodes ricinus (acari: ixodidae) in Trentino, Italian Alps. Journal of Medical Entomology 33(6) (1996) 888-893
    • (1996) Journal of Medical Entomology , vol.33 , Issue.6 , pp. 888-893
    • Merler, S.1    Furlanello, C.2    Chemini, C.3    Nicolini, G.4
  • 7
    • 0004183412 scopus 로고
    • Cross-validation and the bootstrap: Estimating the error rate of a prediction rule
    • Efron, B., and Tibshirani, R.: Cross-validation and the bootstrap: estimating the error rate of a prediction rule. Technical report, Standford University, (1995)
    • (1995) Technical Report, Standford University
    • Efron, B.1    Tibshirani, R.2
  • 8
    • 85044492205 scopus 로고    scopus 로고
    • Selection of tree-based classifiers with the bootstrap 632+ rule
    • Merler, S., and Furlanello, C.: Selection of tree-based classifiers with the bootstrap 632+ rule. Biometrical Journal 39(2) (1997) 1-14
    • (1997) Biometrical Journal , vol.39 , Issue.2 , pp. 1-14
    • Merler, S.1    Furlanello, C.2
  • 10
    • 0003333050 scopus 로고    scopus 로고
    • Tree-based classifiers and GIS for biological risk forecasting
    • Morabito, F., (ed.) IOS Press, Amsterdam
    • Furlanello, C., Merler, S., and Chemini, C.: Tree-based classifiers and GIS for biological risk forecasting. In: Morabito, F., (ed.): Advanced in Intelligent Systems. IOS Press, Amsterdam (1997) 316-323
    • (1997) Advanced in Intelligent Systems , pp. 316-323
    • Furlanello, C.1    Merler, S.2    Chemini, C.3
  • 11
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • (to appear)
    • Dietterich, T.G: An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. Machine Learning (1999) (to appear).
    • (1999) Machine Learning
    • Dietterich, T.G.1


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