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Volumn , Issue , 2013, Pages 807-816

A comparative analysis of ensemble classifiers: Case studies in genomics

Author keywords

Bioinformatics; Ensemble methods; Ensemble selection; Genomics; Stacking; Supervised learning

Indexed keywords


EID: 84894669509     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.21     Document Type: Conference Paper
Times cited : (55)

References (52)
  • 1
    • 75149176174 scopus 로고    scopus 로고
    • Ensemble-based classifiers
    • L. Rokach, "Ensemble-Based Classifiers," Artificial Intelligence Review, vol. 33, no. 1-2, pp. 1-39, 2009.
    • (2009) Artificial Intelligence Review , vol.33 , Issue.1-2 , pp. 1-39
    • Rokach, L.1
  • 2
    • 79958701702 scopus 로고    scopus 로고
    • Ensemble methods in data mining: Improving accuracy through combining predictions
    • G. Seni and J. Elder, Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions. Morgan & Claypool, 2010.
    • (2010) Morgan & Claypool
    • Seni, G.1    Elder, J.2
  • 4
    • 0031272838 scopus 로고    scopus 로고
    • Forecasting time series with genetic fuzzy predictor ensemble
    • D. Kim, "Forecasting Time Series with Genetic Fuzzy Predictor Ensemble," IEEE Transactions on Fuzzy Systems, vol. 5, no. 4, pp. 523-535, 1997.
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , Issue.4 , pp. 523-535
    • Kim, D.1
  • 5
    • 78951491903 scopus 로고    scopus 로고
    • A review of ensemble methods in bioinformatics
    • P. Yang, Y. H. Yang, B. B. Zhou, and A. Y. Zomaya, "A Review of Ensemble Methods in Bioinformatics," Current Bioinformatics, vol. 5, no. 4, pp. 296-308, 2010.
    • (2010) Current Bioinformatics , vol.5 , Issue.4 , pp. 296-308
    • Yang, P.1    Yang, Y.H.2    Zhou, B.B.3    Zomaya, A.Y.4
  • 7
    • 84862778147 scopus 로고    scopus 로고
    • Ensemble sparse classification of alzheimer's disease
    • M. Liu, D. Zhang, and D. Shen, "Ensemble Sparse Classification of Alzheimer's Disease," Neuroimage, vol. 60, no. 2, pp. 1106-1116, 2012.
    • (2012) Neuroimage , vol.60 , Issue.2 , pp. 1106-1116
    • Liu, M.1    Zhang, D.2    Shen, D.3
  • 8
    • 76449106967 scopus 로고    scopus 로고
    • Predicting protein subcellular location: Exploiting amino acid based sequence of feature spaces and fusion of diverse classifiers
    • A. Khan, A. Majid, and T.-S. Choi, "Predicting Protein Subcellular Location: Exploiting Amino Acid Based Sequence of Feature Spaces and Fusion of Diverse Classifiers," Amino Acids, vol. 38, no. 1, pp. 347-350, 2010.
    • (2010) Amino Acids , vol.38 , Issue.1 , pp. 347-350
    • Khan, A.1    Majid, A.2    Choi, T.-S.3
  • 10
    • 0030365938 scopus 로고    scopus 로고
    • Error correlation and error reduction in ensemble classifiers
    • K. Tumer and J. Ghosh, "Error Correlation and Error Reduction in Ensemble Classifiers," Connection Science, vol. 8, no. 3-4, pp. 385-404, 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 385-404
    • Tumer, K.1    Ghosh, J.2
  • 11
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. I. Kuncheva and C. J. Whitaker, "Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy," Machine Learning, vol. 51, no. 2, pp. 181-207, 2003.
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 12
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T. G. Dietterich, "An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization," Machine Learning, vol. 40, no. 2, pp. 139-157, 2000.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-157
    • Dietterich, T.G.1
  • 13
    • 33749018252 scopus 로고    scopus 로고
    • An analysis of diversity measures
    • E. K. Tang, P. N. Suganthan, and X. Yao, "An Analysis of Diversity Measures," Machine Learning, vol. 65, no. 1, pp. 247-271, 2006.
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 247-271
    • Tang, E.K.1    Suganthan, P.N.2    Yao, X.3
  • 14
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging Predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 16
    • 0032661927 scopus 로고    scopus 로고
    • Using correspondence analysis to combine classifiers
    • C. J. Merz, "Using Correspondence Analysis to Combine Classifiers," Machine Learning, vol. 36, no. 1-2, pp. 33-58, 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 33-58
    • Merz, C.J.1
  • 17
    • 0026692226 scopus 로고
    • Stacked generalization
    • D. H. Wolpert, "Stacked Generalization," Neural Networks, vol. 5, no. 2, pp. 241-259, 1992.
    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 241-259
    • Wolpert, D.H.1
  • 23
    • 84882652197 scopus 로고    scopus 로고
    • Synthetic sickness or lethality points at candidate combination therapy targets in glioblastoma
    • E. Szczurek, N. Misra, and M. Vingron, "Synthetic Sickness or Lethality Points at Candidate Combination Therapy Targets in Glioblastoma," International Journal of Cancer, 2013.
    • (2013) International Journal of Cancer
    • Szczurek, E.1    Misra, N.2    Vingron, M.3
  • 27
    • 67650898284 scopus 로고    scopus 로고
    • Incorporating functional inter-relationships into protein function prediction algorithms
    • G. Pandey, C. L. Myers, and V. Kumar, "Incorporating Functional Inter-Relationships Into Protein Function Prediction Algorithms," BMC Bioinformatics, vol. 10, no. 142, 2009.
    • (2009) BMC Bioinformatics , vol.10 , Issue.142
    • Pandey, G.1    Myers, C.L.2    Kumar, V.3
  • 28
    • 0035830860 scopus 로고    scopus 로고
    • Principles for the buffering of genetic variation
    • J. L. Hartman, B. Garvik, and L. Hartwell, "Principles for the Buffering of Genetic Variation," Science, vol. 291, no. 5506, pp. 1001-1004, 2001.
    • (2001) Science , vol.291 , Issue.5506 , pp. 1001-1004
    • Hartman, J.L.1    Garvik, B.2    Hartwell, L.3
  • 29
    • 79953289737 scopus 로고    scopus 로고
    • Mapping of signaling networks through synthetic genetic interaction analysis by RNAi
    • T. Horn, T. Sandmann, B. Fischer, E. Axelsson, W. Huber, and M. Boutros, "Mapping of Signaling Networks Through Synthetic Genetic Interaction Analysis by RNAi," Nature Methods, vol. 8, no. 4, pp. 341-346, 2011.
    • (2011) Nature Methods , vol.8 , Issue.4 , pp. 341-346
    • Horn, T.1    Sandmann, T.2    Fischer, B.3    Axelsson, E.4    Huber, W.5    Boutros, M.6
  • 32
    • 67349192921 scopus 로고    scopus 로고
    • Open-source machine learning: R meets weka
    • K. Hornik, C. Buchta, and A. Zeileis, "Open-Source Machine Learning: R Meets Weka," Computational Statistics, vol. 24, no. 2, pp. 225-232, 2009.
    • (2009) Computational Statistics , vol.24 , Issue.2 , pp. 225-232
    • Hornik, K.1    Buchta, C.2    Zeileis, A.3
  • 34
    • 56249113343 scopus 로고    scopus 로고
    • Building predictive models in R using the caret package
    • M. Kuhn, "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, vol. 28, no. 5, pp. 1-26, 2008.
    • (2008) Journal of Statistical Software , vol.28 , Issue.5 , pp. 1-26
    • Kuhn, M.1
  • 36
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • J. H. Friedman, T. Hastie, and R. J. Tibshirani, "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, vol. 33, no. 1, pp. 1-22, 2010.
    • (2010) Journal of Statistical Software , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.J.3
  • 39
    • 0345040873 scopus 로고    scopus 로고
    • Classification and Regression by randomForest
    • A. Liaw and M. Wiener, "Classification and Regression by randomForest," R News, vol. 2, no. 3, pp. 18-22, 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 42
    • 0001218846 scopus 로고
    • On the association of attributes in statistics: With illustrations from the material of the childhood society
    • G. U. Yule, "On the Association of Attributes in Statistics: With Illustrations from the Material of the Childhood Society," Philosophical Transactions of the Royal Society of London, Series A, vol. 194, pp. 257-319, 1900.
    • (1900) Philosophical Transactions of the Royal Society of London, Series A , vol.194 , pp. 257-319
    • Yule, G.U.1
  • 43
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • J. Cohen, "A Coefficient of Agreement for Nominal Scales," Educational and Psychological Measurement, vol. 20, no. 1, pp. 37-46, 1960.
    • (1960) Educational and Psychological Measurement , vol.20 , Issue.1 , pp. 37-46
    • Cohen, J.1
  • 45
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Jan
    • J. Demšar, "Statistical Comparisons of Classifiers over Multiple Data Sets," Journal of Machine Learning Research, vol. 7, no. Jan, pp. 1-30, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 46
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit in the analysis of variance
    • M. Friedman, "The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance," Journal of the American Statistical Association, vol. 32, no. 200, pp. 675-701, 1937.
    • (1937) Journal of the American Statistical Association , vol.32 , Issue.200 , pp. 675-701
    • Friedman, M.1
  • 50
    • 0003010182 scopus 로고
    • Verification of forecasts expressed in terms of probability
    • G. W. Brier, "Verification of Forecasts Expressed in Terms of Probability," Monthly Weather Review, vol. 78, no. 1, pp. 1-3, 1950.
    • (1950) Monthly Weather Review , vol.78 , Issue.1 , pp. 1-3
    • Brier, G.W.1
  • 51
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • J. C. Platt, "Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods," Advances in Large Margin Classifiers, vol. 10, no. 3, pp. 61-74, 1999.
    • (1999) Advances in Large Margin Classifiers , vol.10 , Issue.3 , pp. 61-74
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.