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Volumn 2167, Issue , 2001, Pages 179-191

Understanding probabilistic classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); MACHINE LEARNING;

EID: 84948181181     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44795-4_16     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 3
    • 0031269184 scopus 로고    scopus 로고
    • Beyond independence: Conditions for the optimality of simple bayesian classifier
    • P. Domingos and Pazzani M. Beyond independence: Conditions for the optimality of simple bayesian classifier. Machine Learning, 29:103–130, 1997.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 4
    • 0003642109 scopus 로고    scopus 로고
    • Technical Report CS97-557, Department of Computer Science, University of California, San Diego
    • C. Elkan. Boosting and naive bayesian learning. Technical Report CS97-557, Department of Computer Science, University of California, San Diego, 1997.
    • (1997) Boosting and Naive Bayesian Learning
    • Elkan, C.1
  • 5
    • 0028273691 scopus 로고
    • Relation between entropy and error probability
    • M Feder and N. Merhav. Relation between entropy and error probability. IEEE Trans. on Information Theory, 40:259–266, 1994.
    • (1994) IEEE Trans. On Information Theory , vol.40 , pp. 259-266
    • Feder, M.1    Merhav, N.2
  • 6
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1-loss and curse-of-dimensionality
    • J. H. Friedman. On bias, variance, 0/1-loss and curse-of-dimensionality. Data Mining and Knowledge Discovery, 55, 1997.
    • (1997) Data Mining and Knowledge Discovery , pp. 55
    • Friedman, J.H.1
  • 8
    • 84948129903 scopus 로고    scopus 로고
    • Technical Report UIUCDCSR-2001-2206, UIUC Computer Science Department, March
    • A. Garg and D. Roth. Understanding probabilistic classifiers. Technical Report UIUCDCSR-2001-2206, UIUC Computer Science Department, March 2001.
    • (2001) Understanding Probabilistic Classifiers
    • Garg, A.1    Roth, D.2
  • 12
    • 0021518106 scopus 로고
    • A theory of the learnable
    • November
    • L. G. Valiant. A theory of the learnable. Communications of the ACM, 27(11):1134–1142, November 1984.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.