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Volumn 49, Issue 2, 2008, Pages 398-416

Evidence and scenario sensitivities in naive Bayesian classifiers

Author keywords

Naive Bayesian classifiers; Robustness; Sensitivity

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; INFERENCE ENGINES; INFORMATION ANALYSIS; LEARNING SYSTEMS; STANDARDS;

EID: 52949118454     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2008.02.008     Document Type: Article
Times cited : (20)

References (14)
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    • Dechter R., Kearns M., and Sutton R.S. (Eds), AAAI Press
    • Chan H., and Darwiche A. A distance measure for bounding probabilistic belief change. In: Dechter R., Kearns M., and Sutton R.S. (Eds). Proceedings of the 18th National Conference on Artificial Intelligence (2002), AAAI Press 539-545
    • (2002) Proceedings of the 18th National Conference on Artificial Intelligence , pp. 539-545
    • Chan, H.1    Darwiche, A.2
  • 5
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos P., and Pazzani M. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29 (1997) 103-130
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 8
    • 0029322870 scopus 로고
    • Sensitivity analysis for probability assessments in Bayesian networks
    • Laskey K.B. Sensitivity analysis for probability assessments in Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics 25 (1995) 901-909
    • (1995) IEEE Transactions on Systems, Man, and Cybernetics , vol.25 , pp. 901-909
    • Laskey, K.B.1
  • 9
    • 33746928311 scopus 로고    scopus 로고
    • P. Liu, L. Lei, N. Wu, A quantitative study of the effect of missing data in classifiers, in: N. Gu, D. Wei, Z. Xie, H. Wang, S.X. Wang, B. Shi (Eds.), IEEE Proceedings of the 5th International Conference on Computer and Information Technology, 2005, pp. 28-33.
    • P. Liu, L. Lei, N. Wu, A quantitative study of the effect of missing data in classifiers, in: N. Gu, D. Wei, Z. Xie, H. Wang, S.X. Wang, B. Shi (Eds.), IEEE Proceedings of the 5th International Conference on Computer and Information Technology, 2005, pp. 28-33.
  • 12
    • 52949100361 scopus 로고    scopus 로고
    • I. Rish, An empirical study of the naive Bayes classifier, in: IJCAI Workshop on Empirical Methods in Artificial Intelligence, 2001, pp. 41-46.
    • I. Rish, An empirical study of the naive Bayes classifier, in: IJCAI Workshop on Empirical Methods in Artificial Intelligence, 2001, pp. 41-46.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.