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Volumn 3512, Issue , 2005, Pages 779-786

Bias and variance of rotation-based ensembles

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; MATHEMATICAL TRANSFORMATIONS; PERSONNEL TRAINING;

EID: 25144515389     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_95     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 1
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • Eric Bauer and Ron Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1-2):105-139, 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Leo Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Leo Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 9
    • 0036083445 scopus 로고    scopus 로고
    • A data complexity analysis of comparative advantages of decision forest constructors
    • Tin Kam Ho. A data complexity analysis of comparative advantages of decision forest constructors. Pattern Analysis and Applications, 5:102-112, 2002.
    • (2002) Pattern Analysis and Applications , vol.5 , pp. 102-112
    • Ho, T.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.