메뉴 건너뛰기




Volumn 1642, Issue , 1999, Pages 63-74

The biases of decision tree pruning strategies

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA HANDLING; DATA MINING; DECISION TREES; INFORMATION ANALYSIS; LEARNING ALGORITHMS;

EID: 84957697882     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48412-4_6     Document Type: Conference Paper
Times cited : (12)

References (24)
  • 1
    • 0000492326 scopus 로고
    • Learning from noisy examples
    • Angluin, D., Laird, P.: Learning from noisy examples. Mach. Learn. 2 (1988) 343-370
    • (1988) Mach. Learn , vol.2 , pp. 343-370
    • Angluin, D.1    Laird, P.2
  • 3
    • 0345143224 scopus 로고    scopus 로고
    • A process-oriented heuristic for model selection
    • In: Shavlik, J. (ed.): Morgan Kaufmann, San Francisco, CA
    • Domingos, P.: A process-oriented heuristic for model selection. In: Shavlik, J. (ed.): Machine Learning: Proceedings of the Fifteenth International Conference. Morgan Kaufmann, San Francisco, CA (1998) 127-135
    • (1998) Machine Learning: Proceedings of the Fifteenth International Conference , pp. 127-135
    • Domingos, P.1
  • 4
  • 6
    • 0024735093 scopus 로고
    • Learning decision trees from random examples
    • Ehrenfeucht A., Haussler, D.: Learning decision trees from random examples. Inf. Comput. 82 (1989) 231-246
    • (1989) Inf. Comput , vol.82 , pp. 231-246
    • Ehrenfeucht, A.1    Haussler, D.2
  • 7
  • 9
    • 0000943745 scopus 로고    scopus 로고
    • Lower bounds on learning decision lists and trees
    • Hancock, T., Jiang, T., Li, M., Tromp, J.: Lower bounds on learning decision lists and trees. Inf. Comput. 126 (1996) 114-122
    • (1996) Inf. Comput , vol.126 , pp. 114-122
    • Hancock, T.1    Jiang, T.2    Li, M.3    Tromp, J.4
  • 11
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used data sets
    • Holte, R. C.: Very simple classification rules perform well on most commonly used data sets. Mach. Learn. 11 (1993) 63-90
    • (1993) Mach. Learn , vol.11 , pp. 63-90
    • Holte, R.C.1
  • 13
    • 0002125069 scopus 로고    scopus 로고
    • The effects of training set size on decision tree complexity
    • In: Fisher, D. H. (ed.): Morgan Kaufmann, San Francisco, CA
    • Oates, T., Jensen, D.: The effects of training set size on decision tree complexity. In: Fisher, D. H. (ed.): Machine Learning: Proceedings of the Fourteenth International Conference, Morgan Kaufmann, San Francisco, CA (1997) 254-261
    • (1997) Machine Learning: Proceedings of the Fourteenth International Conference , pp. 254-261
    • Oates, T.1    Jensen, D.2
  • 14
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end games
    • Michalski, R., Carbonell, J., Mitchell, T. (eds.), Tioga, Palo Alto, CA
    • Quinlan, J. R.: Learning efficient classification procedures and their application to chess end games. In: Michalski, R., Carbonell, J., Mitchell, T. (eds.): Machine Learning: An Artificial Intelligence Approach. Tioga, Palo Alto, CA (1983) 391-411
    • (1983) Machine Learning: An Artificial Intelligence Approach , pp. 391-411
    • Quinlan, J.R.1
  • 15
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R.: Induction of decision trees. Mach. Learn. 1 (1986) 81-106
    • (1986) Mach. Learn , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 0029678894 scopus 로고    scopus 로고
    • Improved use of continuous attributes in C4.5
    • Quinlan, J. R.: Improved use of continuous attributes in C4.5. J. Artif. Intell. Res. 4 (1996) 77-90
    • (1996) J. Artif. Intell. Res , vol.4 , pp. 77-90
    • Quinlan, J.R.1
  • 18
    • 85115704629 scopus 로고
    • For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance
    • Prieditis, A., Russell, S. (eds.), Morgan Kaufmann, San Francisco, CA
    • Rao, R. B., Gordon, D. F., Spears, W. M.: For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance. In: Prieditis, A., Russell, S. (eds.): Machine Learning: Proceedings of the Twelfth International Conference. Morgan Kaufmann, San Francisco, CA (1995) 471-479
    • (1995) Machine Learning: Proceedings of the Twelfth International Conference , pp. 471-479
    • Rao, R.B.1    Gordon, D.F.2    Spears, W.M.3
  • 19
    • 0027585704 scopus 로고
    • Noise-tolerant Occam algorithms and their applications to learning decision trees
    • Sakakibara, Y.: Noise-tolerant Occam algorithms and their applications to learning decision trees. Mach. Learn. 11 (1993) 37-62
    • (1993) Mach. Learn , vol.11 , pp. 37-62
    • Sakakibara, Y.1
  • 20
    • 0001259758 scopus 로고
    • Overfitting avoidance as bias
    • Schaffer, C.: Overfitting avoidance as bias. Mach. Learn. 10 (1993) 153-178
    • (1993) Mach. Learn , vol.10 , pp. 153-178
    • Schaffer, C.1
  • 21
    • 84983750945 scopus 로고
    • A conservation law for generalization performance
    • Cohen, W. W., Hirsh, H. (eds.), Morgan Kaufmann, San Francisco, CA
    • Schaffer, C.: A conservation law for generalization performance. In: Cohen, W. W., Hirsh, H. (eds.): Machine Learning: Proceedings of the Eleventh International Conference. Morgan Kaufmann, San Francisco, CA (1994) 259-265
    • (1994) Machine Learning: Proceedings of the Eleventh International Conference , pp. 259-265
    • Schaffer, C.1
  • 22
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Valiant, L. G.: A theory of the learnable. Commun. ACM 27 (1984) 1134-1142
    • (1984) Commun. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.G.1
  • 23
    • 0000487861 scopus 로고
    • Optimal stopping and effective machine complexity in learning
    • Cowan, J. D., Tesauro, G., Alspector, J. (eds.), 6. Morgan Kaufmann, San Francisco, CA
    • Wang, C., Venkatesh, S. S., Judd, J. S.: Optimal stopping and effective machine complexity in learning. In: Cowan, J. D., Tesauro, G., Alspector, J. (eds.): Advances in Neural Information Processing Systems, Vol. 6. Morgan Kaufmann, San Francisco, CA (1994) 303-310
    • (1994) Advances in Neural Information Processing Systems, Vol , pp. 303-310
    • Wang, C.1    Venkatesh, S.S.2    Judd, J.S.3
  • 24
    • 0000459353 scopus 로고    scopus 로고
    • The lack of a priori distinctions between learning algorithms
    • Wolpert, D. H.: The lack of a priori distinctions between learning algorithms. Neural Comput. 8 (1996) 1341-1390
    • (1996) Neural Comput , vol.8 , pp. 1341-1390
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.