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Volumn 24, Issue 5, 2002, Pages 591-602

Upper bounds for error rates of linear combinations of classifiers

Author keywords

Classification trees; Exponential bounds; Machine learning; Weakly dependent classifiers

Indexed keywords

BAGGING; BOOSTING; DECISION RULE; ERROR RATES; EXPONENTIAL BOUNDS; LINEAR COMBINATIONS; MEAN SQUARED ERROR; RANDOMIZED TREES; WEAKLY DEPENDENT CLASSIFIERS;

EID: 0036565802     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.1000235     Document Type: Article
Times cited : (19)

References (28)
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  • 7
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    • Technical Report 547, Dept. of Statistics, Univ. of Calif. at Berkeley
    • (1999)
    • Breiman, L.1
  • 10
    • 0003667773 scopus 로고    scopus 로고
    • Bias, variance, and prediction error for classification rules
    • technical report, Dept. of Statistics, Univ. of Toronto
    • (1996)
    • Tibshirani, R.1
  • 26
    • 0006069884 scopus 로고    scopus 로고
    • Personal communication
    • (2001)
    • Amit, Y.1
  • 27
    • 84866567015 scopus 로고    scopus 로고
    • UCI Machine Learning Repository
    • (2000)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.