메뉴 건너뛰기




Volumn , Issue , 2004, Pages 297-304

Cost-guided class noise handling for effective cost-sensitive learning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COSTS; DATA MINING; DECISION THEORY; DIAGNOSIS; LEARNING SYSTEMS; TREES (MATHEMATICS);

EID: 19544391806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (23)
  • 1
    • 0000046054 scopus 로고    scopus 로고
    • Identifying mislabeled training data
    • C. Brodley & M. Friedl, Identifying mislabeled training data, J. of AI Research, 11:131-167, 1999.
    • (1999) J. of AI Research , vol.11 , pp. 131-167
    • Brodley, C.1    Friedl, M.2
  • 4
    • 0002106691 scopus 로고    scopus 로고
    • MetaCost: A general method for making classifiers costsensitive
    • P. Domingos, MetaCost: a general method for making classifiers costsensitive. Proc. of KDD, 1999.
    • (1999) Proc. of KDD
    • Domingos, P.1
  • 6
    • 9444266288 scopus 로고    scopus 로고
    • Pruning improves heuristic search for cost-sensitive learning
    • V. Zubek & T. Dietterich, Pruning improves heuristic search for cost-sensitive learning, Proc. of ICML, 2002.
    • (2002) Proc. of ICML
    • Zubek, V.1    Dietterich, T.2
  • 8
    • 0027682298 scopus 로고
    • Cost-sensitive learning of classification knowledge and its applications in robotics
    • M. Tan, Cost-sensitive learning of classification knowledge and its applications in robotics, Machine Learning, 13:7-33, 1993.
    • (1993) Machine Learning , vol.13 , pp. 7-33
    • Tan, M.1
  • 9
    • 0000159863 scopus 로고    scopus 로고
    • Toward scalable learning with non-uniform class and cost distributions
    • P. Chan & S. Stolfo, Toward scalable learning with non-uniform class and cost distributions, Proc. of KDD, 1998.
    • (1998) Proc. of KDD
    • Chan, P.1    Stolfo, S.2
  • 10
    • 33749245586 scopus 로고    scopus 로고
    • Cost-sensitive learning by cost-proportionate example weighting
    • B. Zadrozny, J. Langford & N. Abe, Cost-sensitive learning by cost-proportionate example weighting, Proc. of ICDM, 2003.
    • (2003) Proc. of ICDM
    • Zadrozny, B.1    Langford, J.2    Abe, N.3
  • 11
    • 12244287068 scopus 로고    scopus 로고
    • An iterative method for multi-class cost-sensitive learning
    • N. Abe & B. Zadrozny, An iterative method for multi-class cost-sensitive learning, Proc. of KDD, 2004.
    • (2004) Proc. of KDD
    • Abe, N.1    Zadrozny, B.2
  • 12
    • 1942517291 scopus 로고    scopus 로고
    • Perceptron based learning with example dependent and noisy costs
    • P. Geibel & F. Wysotzki, Perceptron based learning with example dependent and noisy costs, Proc. of ICML 2003.
    • (2003) Proc. of ICML
    • Geibel, P.1    Wysotzki, F.2
  • 16
    • 19544386593 scopus 로고    scopus 로고
    • J. Quintan, http://rulequest.com/see5-info.html. 1997.
    • (1997)
    • Quintan, J.1
  • 22
    • 0027565178 scopus 로고
    • Supervised learning on large redundant training sets
    • M.Moller, Supervised learning on large redundant training sets, Int. J. of Neural Systems, 4(1), 1993.
    • (1993) Int. J. of Neural Systems , vol.4 , Issue.1
    • Moller, M.1
  • 23
    • 19544372918 scopus 로고    scopus 로고
    • Class noise vs attribute noise: A quantitative study of their impacts
    • in press
    • X. Zhu & X. Wu, Class noise vs attribute noise: A quantitative study of their impacts, Artificial Intelligence Review, in press, 2004.
    • (2004) Artificial Intelligence Review
    • Zhu, X.1    Wu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.