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Volumn 3918 LNAI, Issue , 2006, Pages 81-90

Variable randomness in decision tree ensembles

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA ACQUISITION; MATHEMATICAL MODELS;

EID: 33745769769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_12     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging predictors. Machine Learning 24 (1996) 123-140
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 2
    • 0001492549 scopus 로고    scopus 로고
    • Shape quantization and recognition with randomized trees
    • Amit, Y., Geman, D.: Shape quantization and recognition with randomized trees. Neural Computation 9 (1997) 1545-1588
    • (1997) Neural Computation , vol.9 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 4
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • Dietterich, T.G.: An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning 40 (2000) 139-157
    • (2000) Machine Learning , vol.40 , pp. 139-157
    • Dietterich, T.G.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Machine Learning 45 (2001) 5-32
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 8
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Machine Learning 51 (2003) 181-207
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 10
    • 0003500248 scopus 로고
    • Morgan Kaufmann, San Mateo, Calif.
    • Quinlan, J.R.: C4.5 : programs for machine learning. Morgan Kaufmann, San Mateo, Calif. (1993) The latest version of C5 is available from http://www.rulequest.com.
    • (1993) C4.5 : Programs for Machine Learning
    • Quinlan, J.R.1
  • 13
    • 0002448383 scopus 로고
    • Concept learning and the problem of small disjuncts
    • Holte, R.C., Acker, L., Porter, B.W.: Concept learning and the problem of small disjuncts. IJCAI (1989) 813-818
    • (1989) IJCAI , pp. 813-818
    • Holte, R.C.1    Acker, L.2    Porter, B.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.