메뉴 건너뛰기




Volumn 55, Issue 5, 2011, Pages 1933-1941

Ensemble classification of paired data

Author keywords

Ensemble classification; Glaucoma diagnosis; Paired data

Indexed keywords

BUNDLING METHOD; ENSEMBLE CLASSIFICATION; GLAUCOMA DIAGNOSIS; GRADIENT BOOSTING; HEALTHY CONTROLS; INDIVIDUAL TREE; LINEAR DISCRIMINANT ANALYSIS; LOGISTIC REGRESSIONS; MISCLASSIFICATION RATES; PAIRED DATA; RANDOM FORESTS; REPEATED MEASUREMENTS; RESAMPLING; SIMULATION MODEL; SIMULATION RESULT;

EID: 79251593441     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.11.017     Document Type: Article
Times cited : (16)

References (32)
  • 1
    • 2642540164 scopus 로고    scopus 로고
    • Simulation based analysis of automated classification of medical images
    • W. Adler, T. Hothorn, and B. Lausen Simulation based analysis of automated classification of medical images Methods of Information in Medicine 43 2004 150 155
    • (2004) Methods of Information in Medicine , vol.43 , pp. 150-155
    • Adler, W.1    Hothorn, T.2    Lausen, B.3
  • 2
    • 56349160123 scopus 로고    scopus 로고
    • Bootstrap estimated true and false positive rates and roc curve
    • W. Adler, and B. Lausen Bootstrap estimated true and false positive rates and roc curve Computational Statistics & Data Analysis 53 2009 718 729
    • (2009) Computational Statistics & Data Analysis , vol.53 , pp. 718-729
    • Adler, W.1    Lausen, B.2
  • 3
    • 38849145748 scopus 로고    scopus 로고
    • Comparison of classifiers applied to confocal scanning laser ophthalmoscopy data
    • W. Adler, A. Peters, and B. Lausen Comparison of classifiers applied to confocal scanning laser ophthalmoscopy data Methods of Information in Medicine 47 2008 38 46
    • (2008) Methods of Information in Medicine , vol.47 , pp. 38-46
    • Adler, W.1    Peters, A.2    Lausen, B.3
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman Random forests Machine Learning 45 1 2001 5 32
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 30844446670 scopus 로고    scopus 로고
    • Spatial prediction models for landslide hazards: Review, comparison and evaluation
    • A. Brenning Spatial prediction models for landslide hazards: review, comparison and evaluation Natural Hazards and Earth Systems Science 5 2005 853 862
    • (2005) Natural Hazards and Earth Systems Science , vol.5 , pp. 853-862
    • Brenning, A.1
  • 9
    • 53349175730 scopus 로고    scopus 로고
    • Estimating error rates in the classification of paired organs
    • A. Brenning, and B. Lausen Estimating error rates in the classification of paired organs Statistics in Medicine 27 2008 4515 4531
    • (2008) Statistics in Medicine , vol.27 , pp. 4515-4531
    • Brenning, A.1    Lausen, B.2
  • 10
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: Regularization, prediction and model fitting (with discussion)
    • P. Bhlmann, and T. Hothorn Boosting algorithms: regularization, prediction and model fitting (with discussion) Statistical Science 22 2007 477 522
    • (2007) Statistical Science , vol.22 , pp. 477-522
    • Bhlmann, P.1    Hothorn, T.2
  • 13
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman Greedy function approximation: a gradient boosting machine The Annals of Statistics 29 2001 1189 1232
    • (2001) The Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.1
  • 15
    • 0037211316 scopus 로고    scopus 로고
    • Bagging tree classifiers for laser scanning images: A data- and simulation-based strategy
    • T. Hothorn, and B. Lausen Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy Artificial Intelligence in Medicine 27 2003 65 79
    • (2003) Artificial Intelligence in Medicine , vol.27 , pp. 65-79
    • Hothorn, T.1    Lausen, B.2
  • 16
    • 0037410515 scopus 로고    scopus 로고
    • Double-bagging: Combining classifiers by bootstrap aggregation
    • T. Hothorn, and B. Lausen Double-bagging: combining classifiers by bootstrap aggregation Pattern Recognition 36 6 2003 1303 1309
    • (2003) Pattern Recognition , vol.36 , Issue.6 , pp. 1303-1309
    • Hothorn, T.1    Lausen, B.2
  • 18
    • 77958033081 scopus 로고    scopus 로고
    • A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics
    • N. Iranpanah, M. Mohammadzadeh, and C.C. Taylor A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics Computational Statistics & Data Analysis 55 2011 578 587
    • (2011) Computational Statistics & Data Analysis , vol.55 , pp. 578-587
    • Iranpanah, N.1    Mohammadzadeh, M.2    Taylor, C.C.3
  • 19
    • 70349445083 scopus 로고    scopus 로고
    • An introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF++
    • Y.V. Karpievitch, E.G. Hill, A.P. Leclerc, A.R. Dabney, and J.S. Almeida An introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF++ PLoS ONE 4 9 2009 e7087
    • (2009) PLoS ONE , vol.4 , Issue.9 , pp. 7087
    • Karpievitch, Y.V.1    Hill, E.G.2    Leclerc, A.P.3    Dabney, A.R.4    Almeida, J.S.5
  • 20
    • 0028299796 scopus 로고
    • Appropriate statistical methods to account for similarities in binary outcomes between fellow eyes
    • J. Katz, S. Zeger, and K. Liang Appropriate statistical methods to account for similarities in binary outcomes between fellow eyes Investigative Ophthalmology & Visual Science 35 1994 2461 2465
    • (1994) Investigative Ophthalmology & Visual Science , vol.35 , pp. 2461-2465
    • Katz, J.1    Zeger, S.2    Liang, K.3
  • 21
    • 0141651932 scopus 로고    scopus 로고
    • New glaucoma classification method based on standard HRT parameters by bagging classification trees
    • C.Y. Mardin, T. Hothorn, A. Peters, A.G. Jnemann, N.X. Nguyen, and B. Lausen New glaucoma classification method based on standard HRT parameters by bagging classification trees Journal of Glaucoma 12 2003 340 346
    • (2003) Journal of Glaucoma , vol.12 , pp. 340-346
    • Mardin, C.Y.1    Hothorn, T.2    Peters, A.3    Jnemann, A.G.4    Nguyen, N.X.5    Lausen, B.6
  • 22
    • 0034728383 scopus 로고    scopus 로고
    • Statistical methods for the evaluation of diagnostic measurements concerning paired organs
    • P. Martus Statistical methods for the evaluation of diagnostic measurements concerning paired organs Statistics in Medicine 19 2000 525 540
    • (2000) Statistics in Medicine , vol.19 , pp. 525-540
    • Martus, P.1
  • 23
    • 0035565362 scopus 로고    scopus 로고
    • A measurement model of disease damage in paired organs
    • P. Martus A measurement model of disease damage in paired organs Biometrical Journal 43 2001 927 940
    • (2001) Biometrical Journal , vol.43 , pp. 927-940
    • Martus, P.1
  • 24
    • 2342665692 scopus 로고    scopus 로고
    • GEE approaches to marginal regression models for medical diagnostic tests
    • P. Martus GEE approaches to marginal regression models for medical diagnostic tests Statistics in Medicine 23 2004 1377 1398
    • (2004) Statistics in Medicine , vol.23 , pp. 1377-1398
    • Martus, P.1
  • 27
    • 0021823424 scopus 로고
    • Statistical analysis of multi-eye data in ophthalmic research
    • W. Ray, and D. O'Doy Statistical analysis of multi-eye data in ophthalmic research Investigative Ophthalmology & Visual Science 26 1985 1186 1188
    • (1985) Investigative Ophthalmology & Visual Science , vol.26 , pp. 1186-1188
    • Ray, W.1    O'Doy, D.2
  • 29
    • 69449097857 scopus 로고    scopus 로고
    • Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
    • L. Rokach Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography Computational Statistics & Data Analysis 53 2009 4046 4072
    • (2009) Computational Statistics & Data Analysis , vol.53 , pp. 4046-4072
    • Rokach, L.1
  • 30
    • 0021725142 scopus 로고
    • Multivariate methods in ophthalmology with application to other paired-data situations
    • B. Rosner Multivariate methods in ophthalmology with application to other paired-data situations Biometrics 40 1984 1025 1035
    • (1984) Biometrics , vol.40 , pp. 1025-1035
    • Rosner, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.