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Volumn , Issue , 2001, Pages 973-978

The foundations of cost-sensitive learning

Author keywords

[No Author keywords available]

Indexed keywords

COST-SENSITIVE CLASSIFICATION; COST-SENSITIVE LEARNING; DECISION TREE LEARNING; MISCLASSIFICATION COSTS; MISCLASSIFICATION ERROR; NEGATIVE EXAMPLES; OPTIMAL DECISIONS; PROBABILITY ESTIMATE;

EID: 84867577175     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2036)

References (15)
  • 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, 36:105-139, 1999.
    • (1999) Machine Learning , vol.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.