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Volumn 1, Issue , 2003, Pages 266-273

Probabilistic Classifiers and the Concepts they Recognize

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; COMPUTER SIMULATION; GEOMETRY; HIERARCHICAL SYSTEMS; POLYNOMIALS; PROBABILISTIC LOGICS; SIZE SEPARATION;

EID: 1942484974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 2
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos, P., & Pazzani, M. (1997). On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29, 103-130.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 6
    • 0141511403 scopus 로고    scopus 로고
    • Understanding probabilistic classifiers
    • Springer
    • Garg, A., & Roth, D. (2001). Understanding probabilistic classifiers. Proceedings of ECML-01. Springer.
    • (2001) Proceedings of ECML-01
    • Garg, A.1    Roth, D.2
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., & John, G. H. (1997). Wrappers for feature subset selection. Artificial Intelligence, 97, 273-324.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 12
    • 33846559877 scopus 로고    scopus 로고
    • The learnability of naive bayes
    • Springer
    • Zhang, H., Ling, C. X., & Zhao, Z. (2000). The learnability of naive bayes. Canadian AI 2000 (pp. 432-441). Springer.
    • (2000) Canadian AI 2000 , pp. 432-441
    • Zhang, H.1    Ling, C.X.2    Zhao, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.