메뉴 건너뛰기




Volumn 54, Issue 2, 2010, Pages 438-451

On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC EFFICIENCY; CLASSIFICATION PERFORMANCE; DISCRIMINATIVE APPROACH; DISCRIMINATIVE COMPONENTS; GENERATIVE MODEL; HYBRID APPROACH; LINEAR DISCRIMINANT ANALYSIS; LINEAR NORMALS; LOGISTIC REGRESSIONS; MISSPECIFICATION; OPTIMISATIONS; SIMULATED DATASETS;

EID: 70350569278     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2009.09.011     Document Type: Article
Times cited : (15)

References (20)
  • 1
    • 36948999941 scopus 로고    scopus 로고
    • University of California, School of Information and Computer Science, Irvine, CA
    • Asuncion, A., Newman, D.J., 2007. UCI machine learning repository. University of California, School of Information and Computer Science, Irvine, CA, http://www.ics.uci.edu/~mlearn/MLRepository.html
    • (2007) UCI machine learning repository
    • Asuncion, A.1    Newman, D.J.2
  • 2
    • 56949103478 scopus 로고    scopus 로고
    • Oxford University Press
    • Bishop C.M., and Lasserre J. Generative or Discriminative? Getting the Best of Both Worlds (with discussion). Bayesian Statistics vol. 8 (2007), Oxford University Press 3-24
    • (2007) Bayesian Statistics , vol.8 , pp. 3-24
    • Bishop, C.M.1    Lasserre, J.2
  • 4
    • 47349085171 scopus 로고    scopus 로고
    • Bias-variance tradeoff in hybrid generative-discriminative models
    • IEEE Computer Society
    • Bouchard G. Bias-variance tradeoff in hybrid generative-discriminative models. ICMLA (2007), IEEE Computer Society 124-129
    • (2007) ICMLA , pp. 124-129
    • Bouchard, G.1
  • 5
    • 33646405050 scopus 로고    scopus 로고
    • The tradeoff between generative and discriminative classifiers
    • Physica-Verlag
    • Bouchard G., and Triggs B. The tradeoff between generative and discriminative classifiers. COMPSTAT (2004), Physica-Verlag 721-728
    • (2004) COMPSTAT , pp. 721-728
    • Bouchard, G.1    Triggs, B.2
  • 6
    • 0017094666 scopus 로고
    • Properties of diagnostic data distributions
    • Dawid A.P. Properties of diagnostic data distributions. Biometrics 32 3 (1976) 647-658
    • (1976) Biometrics , vol.32 , Issue.3 , pp. 647-658
    • Dawid, A.P.1
  • 7
    • 36849045249 scopus 로고    scopus 로고
    • Semi-supervised classification with hybrid generative/discriminative methods
    • ACM
    • Druck G., Pal C., Zhu X., and McCallum A. Semi-supervised classification with hybrid generative/discriminative methods. KDD (2007), ACM 280-289
    • (2007) KDD , pp. 280-289
    • Druck, G.1    Pal, C.2    Zhu, X.3    McCallum, A.4
  • 8
    • 84886193637 scopus 로고
    • The efficiency of logistic regression compared to normal discriminant analysis
    • Efron B. The efficiency of logistic regression compared to normal discriminant analysis. Journal of the American Statistical Association 70 352 (1975) 892-898
    • (1975) Journal of the American Statistical Association , vol.70 , Issue.352 , pp. 892-898
    • Efron, B.1
  • 9
    • 33750466189 scopus 로고    scopus 로고
    • A hybrid generative/discriminative approach to text classification with additional information
    • Fujino A., Ueda N., and Saito K. A hybrid generative/discriminative approach to text classification with additional information. Information Processing and Management 43 2 (2007) 379-392
    • (2007) Information Processing and Management , vol.43 , Issue.2 , pp. 379-392
    • Fujino, A.1    Ueda, N.2    Saito, K.3
  • 10
    • 65749119811 scopus 로고    scopus 로고
    • Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
    • Kim J.-H. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. Computational Statistics & Data Analysis 53 11 (2009) 3735-3745
    • (2009) Computational Statistics & Data Analysis , vol.53 , Issue.11 , pp. 3735-3745
    • Kim, J.-H.1
  • 11
    • 33750699291 scopus 로고    scopus 로고
    • Multi-conditional learning: Generative/discriminative training for clustering and classification
    • AAAI Press
    • McCallum A., Pal C., Druck G., and Wang X. Multi-conditional learning: Generative/discriminative training for clustering and classification. AAAI (2006), AAAI Press 433-439
    • (2006) AAAI , pp. 433-439
    • McCallum, A.1    Pal, C.2    Druck, G.3    Wang, X.4
  • 12
    • 1942418620 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • MIT Press
    • Ng A.Y., and Jordan M.I. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. NIPS (2001), MIT Press 841-848
    • (2001) NIPS , pp. 841-848
    • Ng, A.Y.1    Jordan, M.I.2
  • 13
    • 0001115280 scopus 로고
    • The general distribution of the error rate of a classification procedure with application to logistic regression discrimination
    • O'Neill T.J. The general distribution of the error rate of a classification procedure with application to logistic regression discrimination. Journal of the American Statistical Association 75 369 (1980) 154-160
    • (1980) Journal of the American Statistical Association , vol.75 , Issue.369 , pp. 154-160
    • O'Neill, T.J.1
  • 14
    • 21244483094 scopus 로고    scopus 로고
    • Classification with hybrid generative/discriminative models
    • MIT Press
    • Raina R., Shen Y., Ng A.Y., and McCallum A. Classification with hybrid generative/discriminative models. NIPS (2003), MIT Press
    • (2003) NIPS
    • Raina, R.1    Shen, Y.2    Ng, A.Y.3    McCallum, A.4
  • 16
    • 85172422630 scopus 로고    scopus 로고
    • Discriminative vs. informative learning
    • AAAI Press
    • Rubinstein Y.D., and Hastie T. Discriminative vs. informative learning. KDD (1997), AAAI Press 49-53
    • (1997) KDD , pp. 49-53
    • Rubinstein, Y.D.1    Hastie, T.2
  • 17
    • 85071661854 scopus 로고    scopus 로고
    • Semi-supervised structured output learning based on a hybrid generative and discriminative approach
    • Association for Computational Linguistics
    • Suzuki J., Fujino A., and Isozaki H. Semi-supervised structured output learning based on a hybrid generative and discriminative approach. EMNLP-CoNLL (2007), Association for Computational Linguistics 791-800
    • (2007) EMNLP-CoNLL , pp. 791-800
    • Suzuki, J.1    Fujino, A.2    Isozaki, H.3
  • 19
    • 55849114874 scopus 로고    scopus 로고
    • Comment on discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • Xue J.-H., and Titterington D.M. Comment on discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. Neural Processing Letters 28 3 (2008) 169-187
    • (2008) Neural Processing Letters , vol.28 , Issue.3 , pp. 169-187
    • Xue, J.-H.1    Titterington, D.M.2
  • 20
    • 61849157763 scopus 로고    scopus 로고
    • Interpretation of hybrid generative/discriminative algorithms
    • Xue J.-H., and Titterington D.M. Interpretation of hybrid generative/discriminative algorithms. Neurocomputing 72 7-9 (2009) 1648-1655
    • (2009) Neurocomputing , vol.72 , Issue.7-9 , pp. 1648-1655
    • Xue, J.-H.1    Titterington, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.