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Volumn 68, Issue 3, 2007, Pages 267-276

A note on Platt's probabilistic outputs for support vector machines

Author keywords

Posterior probability; Support vector machine

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); CONVERGENCE OF NUMERICAL METHODS; SUPPORT VECTOR MACHINES;

EID: 34548160247     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-007-5018-6     Document Type: Article
Times cited : (661)

References (9)
  • 3
    • 0026122066 scopus 로고
    • What every computer scientist should know about floating-point arithmetic
    • 1
    • Goldberg, D. (1991). What every computer scientist should know about floating-point arithmetic. ACM Computing Surveys, 23(1), 5-48.
    • (1991) ACM Computing Surveys , vol.23 , pp. 5-48
    • Goldberg, D.1
  • 4
    • 0001362410 scopus 로고
    • The Levenberg-Marquardt algorithm: Implementation and theory
    • Springer Berlin
    • Moré, J. J. (1978). The Levenberg-Marquardt algorithm: implementation and theory. In G. Watson (Ed.), Numerical analysis (pp. 105-116). Berlin: Springer.
    • (1978) Numerical Analysis , pp. 105-116
    • Moré, J.J.1    Watson, G.2
  • 8
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
    • MIT Press Cambridge
    • Platt, J. (2000). Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In A. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Eds.), Advances in large margin classifiers. Cambridge: MIT Press.
    • (2000) Advances in Large Margin Classifiers
    • Platt, J.1    Smola, A.2    Bartlett, P.3    Schölkopf, B.4    Schuurmans, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.