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Volumn 48, Issue 1-3, 2002, Pages 51-84

Metric-based methods for adaptive model selection and regularization

Author keywords

Model selection; Regularization; Unlabeled examples

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

EID: 0036643079     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013947519741     Document Type: Article
Times cited : (30)

References (40)
  • 12
    • 0000801110 scopus 로고
    • Computers and the theory of statistics: Thinking the unthinkable
    • (1979) SIAM Review , vol.21 , pp. 460-480
    • Efron, B.1
  • 17
    • 0003602554 scopus 로고    scopus 로고
    • A comparison of scientific and engineering criteria for Bayesian model selection
    • Technical Report MSR-TR-96-12, Microsoft Research
    • (1996)
    • Heckerman, D.1    Chickering, D.2
  • 26
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2
  • 40
    • 0017735251 scopus 로고
    • A Bayesian approach to prediction using polynomials
    • (1977) Biometrika , vol.64 , Issue.2 , pp. 309-317
    • Young, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.