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Volumn , Issue , 2007, Pages 141-148

Calibrating classifier scores into probabilities

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; DATA HANDLING; INFORMATION ANALYSIS;

EID: 84867401885     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-70981-7_17     Document Type: Conference Paper
Times cited : (9)

References (4)
  • 1
    • 84879593612 scopus 로고    scopus 로고
    • Using asymmetric distributions to improve text classifier probability estimates: A comparison of new and standard parametric methods
    • School of Computer Science
    • BENNETT, P. (2003): Using Asymmetric Distributions to Improve Text Classifier Probability Estimates: A Comparison of New and Standard Parametric Methods. Techn. Report CMU-CS-02-126, Carnegie Mellon, School of Computer Science.
    • (2003) Techn. Report CMU-CS-02-126, Carnegie Mellon
    • Bennett, P.1
  • 3
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • A. Smola, P. Bartlett, B. Schoelkopf and D. Schuurmans (Eds.). MIT Press, Cambridge
    • PLATT, J. (1999): Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. In: A. Smola, P. Bartlett, B. Schoelkopf and D. Schuurmans (Eds.): Advances in Large Margin Classiers. MIT Press, Cambridge, 61-74.
    • (1999) Advances in Large Margin Classiers. , pp. 61-74
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.