메뉴 건너뛰기




Volumn 5, Issue 2, 2002, Pages 102-112

A data complexity analysis of comparative advantages of decision forest constructors

Author keywords

Bagging; Classifier combination; Data complexity; Decision forest; Decision tree; Random subspace method

Indexed keywords


EID: 0036083445     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s100440200009     Document Type: Article
Times cited : (178)

References (32)
  • 1
    • 0020098693 scopus 로고
    • Any discrimination rule can have an arbitrarily bad probability of error for finite sample size
    • Devroye L. Any discrimination rule can have an arbitrarily bad probability of error for finite sample size. IEEE Trans Pattern Analysis and Machine Intelligence 1982; 4(2): 154-157
    • (1982) IEEE Trans Pattern Analysis and Machine Intelligence , vol.4 , Issue.2 , pp. 154-157
    • Devroye, L.1
  • 2
    • 0033220832 scopus 로고    scopus 로고
    • Meta analysis of classification algorithms for pattern recognition
    • Sohn SY. Meta analysis of classification algorithms for pattern recognition. IEEE Trans Pattern Analysis and Machine Intelligence 1999; 21(11): 1137-1144
    • (1999) IEEE Trans Pattern Analysis and Machine Intelligence , vol.21 , Issue.11 , pp. 1137-1144
    • Sohn, S.Y.1
  • 7
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learning 1996; 24: 123-140
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 8
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • Ho TK. The random subspace method for constructing decision forests. IEEE Trans Pattern Analysis and Machine Intelligence 1998; 20(8): 832-844
    • (1998) IEEE Trans Pattern Analysis and Machine Intelligence , vol.20 , Issue.8 , pp. 832-844
    • Ho, T.K.1
  • 11
    • 0015395891 scopus 로고
    • Considerations of sample and feature size
    • Foley DH. Considerations of sample and feature size. IEEE Trans Information Theory 1972; 18(5): 618-626
    • (1972) IEEE Trans Information Theory , vol.18 , Issue.5 , pp. 618-626
    • Foley, D.H.1
  • 12
    • 0001050283 scopus 로고
    • On dimensionality and sample size in statistical pattern classification
    • Kanal L, Chandrasekaran B. On dimensionality and sample size in statistical pattern classification. Pattern Recognition 1971; 3: 225-234
    • (1971) Pattern Recognition , vol.3 , pp. 225-234
    • Kanal, L.1    Chandrasekaran, B.2
  • 13
    • 0026254755 scopus 로고
    • Bounds on the number of samples needed for neural learning
    • Mehrotra KG, Mohan CK, Ranka S. Bounds on the number of samples needed for neural learning. IEEE Trans Neural Networks 1991; 2(6): 548-558
    • (1991) IEEE Trans Neural Networks , vol.2 , Issue.6 , pp. 548-558
    • Mehrotra, K.G.1    Mohan, C.K.2    Ranka, S.3
  • 14
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • Raudys S, Jain AK. Small sample size effects in statistical pattern recognition: Recommendations for practitioners. IEEE Trans Pattern Analysis and Machine Intelligence 1991; 13(3): 252-264
    • (1991) IEEE Trans Pattern Analysis and Machine Intelligence , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.1    Jain, A.K.2
  • 16
    • 0030343231 scopus 로고    scopus 로고
    • An overtraining-resistant stochastic modeling method for pattern recognition
    • Kleinberg EM. An overtraining-resistant stochastic modeling method for pattern recognition. Annals of Statistics 1996; 4(6): 2319-2349
    • (1996) Annals of Statistics , vol.4 , Issue.6 , pp. 2319-2349
    • Kleinberg, E.M.1
  • 18
    • 0015202473 scopus 로고
    • Estimation of classification error
    • Fukunaga K, Kessell DL. Estimation of classification error. IEEE Trans Computers 1971; 20(12): 1521-1527
    • (1971) IEEE Trans Computers , vol.20 , Issue.12 , pp. 1521-1527
    • Fukunaga, K.1    Kessell, D.L.2
  • 19
    • 0001020401 scopus 로고
    • Recent advances in error rate estimation
    • Hand DJ. Recent advances in error rate estimation. Pattern Recognition Letters 1986; 4: 335-346
    • (1986) Pattern Recognition Letters , vol.4 , pp. 335-346
    • Hand, D.J.1
  • 20
    • 0020100273 scopus 로고
    • Statistical properties of error estimators in performance assessment of recognition systems
    • Kittler J, Devijver PA. Statistical properties of error estimators in performance assessment of recognition systems. IEEE Trans Pattern Analysis and Machine Intelligence 1982; 4(2): 215-220
    • (1982) IEEE Trans Pattern Analysis and Machine Intelligence , vol.4 , Issue.2 , pp. 215-220
    • Kittler, J.1    Devijver, P.A.2
  • 21
    • 0016082639 scopus 로고
    • Bibliography on estimation of misclassification
    • Toussaint GT. Bibliography on estimation of misclassification. IEEE Trans Information Theory 1974; 20(4): 472-479
    • (1974) IEEE Trans Information Theory , vol.20 , Issue.4 , pp. 472-479
    • Toussaint, G.T.1
  • 22
    • 0018515808 scopus 로고
    • Model discrimination using an algorithmic information criterion
    • Maciejowski JM. Model discrimination using an algorithmic information criterion. Automatica 1979; 15: 579-593
    • (1979) Automatica , vol.15 , pp. 579-593
    • Maciejowski, J.M.1
  • 23
    • 0000673504 scopus 로고
    • Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
    • Friedman JH, Rafsky LC. Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests. Annals of Statistics 1979; 7(4): 697-717
    • (1979) Annals of Statistics , vol.7 , Issue.4 , pp. 697-717
    • Friedman, J.H.1    Rafsky, L.C.2
  • 25
  • 26
    • 0033329956 scopus 로고    scopus 로고
    • The learning behavior of single neuron classifiers on linearly separable or nonseparable input
    • Washington, DC, July
    • Basu M, Ho TK. The learning behavior of single neuron classifiers on linearly separable or nonseparable input. Proceedings International Joint Conference on Neural Networks, Washington, DC, July 1999
    • (1999) Proceedings International Joint Conference on Neural Networks
    • Basu, M.1    Ho, T.K.2
  • 27
    • 10044247789 scopus 로고    scopus 로고
    • Compactness and complexity of pattern recognition problems
    • Perneel C (ed), In Memoriam Pierre Devijver, Royal Military Academy, Brussels
    • Duin RPW. Compactness and complexity of pattern recognition problems. In: Perneel C (ed), Proc Int Symposium on Pattern Recognition, In Memoriam Pierre Devijver, Royal Military Academy, Brussels, 1999; 124-128
    • (1999) Proc Int Symposium on Pattern Recognition , pp. 124-128
    • Duin, R.P.W.1
  • 28
    • 0000876414 scopus 로고
    • Local learning algorithms
    • Bottou L, Vapnik V. Local learning algorithms. Neural Computation 1992; 4(6): 888-900
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.