On discriminative vs. Generative classifiers: A comparison of logistic regression and naive bayes

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Ng, Andrew Y ^a   Jordan, Michael I ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS;

DISCRIMINATIVE CLASSIFIERS; DISCRIMINATIVE LEARNING; GENERATIVE CLASSIFIERS; LOGISTIC REGRESSIONS; NAIVE BAYES; TRAINING SETS;

CLASSIFICATION (OF INFORMATION);

EID: 59549087165     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. B. Efron. The efficiency of logistic regression compared to Normal Discriminant Analysis. Journ. of the Amer. Statist. Assoc., 70:892-898, 1975.
3. P. Goldberg and M. Jerrum. Bounding the VC dimension of concept classes parameterized by real numbers. Machine Learning, 18:131-148, 1995.
4. G.J. McLachlan. Discriminant Analysis and Statistical Pattern Recognition. Wiley, New York, 1992.
5. Y. D. Rubinstein and T. Hastie. Discriminative vs. informative learning. In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pages 49-53. AAAI Press, 1997.
6. V. N. Vapnik. Statistical Learning Theory. John Wiley & Sons, 1998.