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Volumn 27, Issue 2, 2014, Pages 133-141

Fine tuning the Naïve Bayesian learning algorithm

Author keywords

improving estimated probabilities; Machine learning; Na ve Bayesian classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS;

EID: 84900413039     PISSN: 09217126     EISSN: None     Source Type: Journal    
DOI: 10.3233/AIC-130588     Document Type: Article
Times cited : (32)

References (20)
  • 4
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • C. Chow and C. Liu, Approximating discrete probability distributions with dependence trees, IEEE Trans. Inf. Theor. 14(3) 1968.
    • (1968) IEEE Trans. Inf. Theor. , vol.14 , pp. 3
    • Chow, C.1    Liu, C.2
  • 5
    • 84884568930 scopus 로고    scopus 로고
    • Specific-class distance measures for nominal attributes
    • to appear
    • K. El Hindi, Specific-class distance measures for nominal attributes, AI Communications (2013), to appear.
    • (2013) AI Communications
    • El Hindi, K.1
  • 9
    • 84155186550 scopus 로고    scopus 로고
    • Impr oving tree augmented naive Bayes for class probability estimation
    • L. Jiang, Z. Cai, D. Wang and H. Zhang, Impr oving tree augmented naive Bayes for class probability estimation, Knowledge-Based Systems 26 (2012), 239-245.
    • (2012) Knowledge-Based Systems , vol.26 , pp. 239-245
    • Jiang, L.1    Cai, Z.2    Wang, D.3    Zhang, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.