메뉴 건너뛰기




Volumn 6, Issue 7, 2011, Pages 1368-1373

An empirical study on class probability estimates in decision tree learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASS PROBABILITIES; CRITICAL PROBLEMS; DATA SETS; DECISION TREE LEARNING; EMPIRICAL STUDIES; LAPLACE ESTIMATE; MAXIMUM-LIKELIHOOD ESTIMATE; RANKING PERFORMANCE;

EID: 79960791677     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.6.7.1368-1373     Document Type: Article
Times cited : (9)

References (16)
  • 2
    • 0042346121 scopus 로고    scopus 로고
    • Tree induction for probability-based ranking
    • F. Provost and P. Domingos, "Tree induction for probability-based ranking, Machine Learning", vol. 52, pp. 199-215, 2003.
    • (2003) Machine Learning , vol.52 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 6
    • 1942452351 scopus 로고    scopus 로고
    • "Decision tree with better ranking,"
    • ser. Proceedings of the Twentieth International Conference on Machine Learning
    • C. Ling and R. Yan, "Decision tree with better ranking," ser. Proceedings of the Twentieth International Conference on Machine Learning. AAAI, 2003, pp. 480-487.
    • (2003) AAAI , pp. 480-487
    • Ling, C.1    Yan, R.2
  • 7
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine Learning, vol. 24, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 8
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • E. Bauer and R. Kohavi, "An empirical comparison of voting classification algorithms: Bagging, boosting and variants," Machine Learning, vol. 36, pp. 105-142, 1999.
    • (1999) Machine Learning , vol.36 , pp. 105-142
    • Bauer, E.1    Kohavi, R.2
  • 11
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the roc curve in the evaluation of machine learning algorithms
    • A. P. Bradley, "The use of the area under the roc curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 30, pp. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 12
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the roc curve for multiple class classification problems
    • D. J. Hand and R. J. Till, "A simple generalisation of the area under the roc curve for multiple class classification problems," Machine Learning, vol. 45, pp. 171-186, 2001.
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 13
    • 1942514797 scopus 로고    scopus 로고
    • Auc: A statistically consistent and more discriminating measure than accuracy
    • ser. Proceedings of the International Joint Conference on Artificial Intelligence
    • H. J. Ling, C. X. and H. Zhang, "Auc: a statistically consistent and more discriminating measure than accuracy," ser. Proceedings of the International Joint Conference on Artificial Intelligence. Morgan Kaufmann, 2003, pp. 329-341.
    • (2003) Morgan Kaufmann , pp. 329-341
    • Ling, H.J.1    Zhang, H.2
  • 14
    • 0042847140 scopus 로고    scopus 로고
    • Inference for the generalization error
    • C. Nadeau and Y. Bengio, "Inference for the generalization error," Machine Learning, vol. 52, pp. 239-281, 2003.
    • (2003) Machine Learning , vol.52 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 15
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • ser. Proceedings of the 13th International Conference on Machine Learning
    • R. E. S. Y. Freund, "Experiments with a new boosting algorithm," ser. Proceedings of the 13th International Conference on Machine Learning. Morgan Kaufmann, 1996, pp. 148-156.
    • (1996) Morgan Kaufmann , pp. 148-156
    • Freund, R.E.S.Y.1
  • 16
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests," Machine Learning, vol. 45, pp. 5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.