메뉴 건너뛰기




Volumn , Issue , 2004, Pages 51-58

Test-cost sensitive naive Bayes classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; ERROR ANALYSIS; TREES (MATHEMATICS); X RAYS;

EID: 19544370525     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (146)

References (16)
  • 2
    • 0344324689 scopus 로고    scopus 로고
    • Metacost: A general method for making classifiers cost-sensitive
    • P. Domingos. Metacost: A general method for making classifiers cost-sensitive. In KDD99, pages 155-164, 1999.
    • (1999) KDD99 , pp. 155-164
    • Domingos, P.1
  • 3
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple bayesian classifier under zero-one loss
    • P. Domingos and M. Pazzani. On the optimality of the simple bayesian classifier under zero-one loss. Machine Learning, 29:103-130, 1997.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 5
    • 84867577175 scopus 로고    scopus 로고
    • The foundations of cost-sensitive learning
    • C. Elkan. The foundations of cost-sensitive learning. In Proc. of the IJCAI01, pages 973-978, 2001.
    • (2001) Proc. of the IJCAI01 , pp. 973-978
    • Elkan, C.1
  • 10
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • M. Nunez. The use of background knowledge in decision tree induction. Machine Learning, 6:231-250, 1991.
    • (1991) Machine Learning , vol.6 , pp. 231-250
    • Nunez, M.1
  • 13
    • 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 Journal, 13:7-33, 1993.
    • (1993) Machine. Learning Journal , vol.13 , pp. 7-33
    • Tan, M.1
  • 14
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • P. D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research, 1995.
    • (1995) Journal of Artificial Intelligence Research
    • Turney, P.D.1
  • 16
    • 9444266288 scopus 로고    scopus 로고
    • Pruning improves heuristic search for cost-sensitive learning
    • Sydney, Australia
    • V. B. Zubek and T. G. Dietterich. Pruning improves heuristic search for cost-sensitive learning. In Proc. of ICML02, pages 27-34, Sydney, Australia, 2002.
    • (2002) Proc. of ICML02 , pp. 27-34
    • Zubek, V.B.1    Dietterich, T.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.