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Volumn , Issue , 2009, Pages 278-281

Local-global-learning of naive Bayesian classifier

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN METHODS; CLASSIFICATION ACCURACY; CONDITIONAL PROBABILITIES; CONDITIONAL PROBABILITY TABLES; FREQUENCY COUNTING; LEARNING METHODS; MAXIMUM LIKELIHOOD LEARNING; NAIVE BAYES; NAIVE BAYESIAN CLASSIFIER; PROBABILISTIC CLASSIFIERS; SHOW THROUGH; TRAINING DATA;

EID: 77951496019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.254     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 2
    • 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, 103-130, 1997. (Pubitemid 127510035)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 4
    • 1942418620 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • Andrew Y. Ng and Michael I. Jordan, "On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes," In: Advances in Neural Information Processing Systems 14, 841-848, 2001.
    • (2001) Advances in Neural Information Processing Systems , vol.14 , pp. 841-848
    • Ng, A.Y.1    Jordan, M.I.2
  • 7
    • 33745444617 scopus 로고    scopus 로고
    • Classification using Hierarchical Naive Bayes models
    • DOI 10.1007/s10994-006-6136-2
    • Helge Langseth and Thomas D. Nielsen, "Classification using Hierarchical Naive Bayes models," Machine Learning, 63:2, 135-159, 2006. (Pubitemid 43951876)
    • (2006) Machine Learning , vol.63 , Issue.2 , pp. 135-159
    • Langseth, H.1    Nielsen, T.D.2
  • 9
    • 36948999941 scopus 로고    scopus 로고
    • Irvine, CA: University of California, School of Information and Computer Science
    • Asuncion, A. and Newman, D.J., "UCI Machine Learning Repository," [http://www.ics.uci.edu/ mlearn/MLRepository.html], Irvine, CA: University of California, School of Information and Computer Science, 2007.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.