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Volumn 3584 LNAI, Issue , 2005, Pages 186-194

One dependence augmented naive bayes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; PERFORMANCE;

EID: 26944497865     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_22     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 2
    • 0031276011 scopus 로고    scopus 로고
    • Bayesian network classifiers
    • Friedman, Geiger, and Goldszmidt. "Bayesian Network Classifiers", Machine Learning, Vol. 29, 131-163, 1997.
    • (1997) Machine Learning , vol.29 , pp. 131-163
    • Friedman1    Geiger2    Goldszmidt3
  • 3
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A. P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition,30,1145-1159.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 5
    • 33645960897 scopus 로고    scopus 로고
    • http://prdownloads.sourceforge.net/weka/datasets-UCI.jar
  • 6
    • 0004007675 scopus 로고    scopus 로고
    • Assessing the calibration of naive bayes' posterior estimates
    • Bennett, P.N., Assessing the Calibration of Naive Bayes' Posterior Estimates. In Technical Report No. CMU-CS100-155. 2000.
    • (2000) Technical Report No. CMU-CS100-155
    • Bennett, P.N.1
  • 7
    • 0001019707 scopus 로고    scopus 로고
    • Learning bayesian networks is NP-complete
    • Fisher, D. and Lenz, H., editors, Springer-Verlag
    • Chickering, D. M. (1996). Learning Bayesian networks is NP-Complete. In Fisher, D. and Lenz, H., editors, Learning from Data: Artificial Intelligence and Statistics V, pages 121-130. Springer-Verlag.
    • (1996) Learning from Data: Artificial Intelligence and Statistics V , pp. 121-130
    • Chickering, D.M.1
  • 8
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the ROC curve for multiple class classification problems
    • Hand, D. J., and Till, R. J., A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning, 45:171-186, 2001.
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 9
    • 0031269184 scopus 로고    scopus 로고
    • Beyond independence: Conditions for the optimality of the simple bayesian classifier
    • Domingos, P., Pazzani M.: Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. Machine Learning 29 (1997) 103-130
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.