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Volumn 46, Issue 1-3, 2002, Pages 21-52

Bayesian methods for support vector machines: Evidence and predictive class probabilities

Author keywords

Bayesian inference; Evidence; Gaussian processes; Hyperparameter tuning; Probabilistic predictions; Support vector machines

Indexed keywords

APPROXIMATION THEORY; ESTIMATION; FUNCTIONS; LEARNING ALGORITHMS; NUMERICAL METHODS; OPTIMIZATION; PROBABILITY; STATISTICAL MECHANICS;

EID: 0036163572     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012489924661     Document Type: Article
Times cited : (171)

References (28)
  • 14
    • 0004087397 scopus 로고
    • Probabilistic inference using Markov Chain Monte Carlo methods
    • Technical Report CRG-TR-93-1, University of Toronto
    • (1993)
    • Neal, R.M.1
  • 16
    • 0008197560 scopus 로고    scopus 로고
    • On the noise model of support vector machine regression
    • Technical Report CBCL Paper 168, AI Memo 1651, Massachusetts Institute of Technology, Cambridge, MA
    • (1998)
    • Pontil, M.1    Mukherjee, S.2    Girosi, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.