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Volumn , Issue , 2011, Pages 340-344

Classification and feature selection for craniosynostosis

Author keywords

Cranial image (CI); Craniosynostosis; L 1 penalized logistic

Indexed keywords

CLASSIFICATION ACCURACY; CRANIAL IMAGE (CI); CRANIOSYNOSTOSIS; FEATURE DATA; FEATURE SELECTION METHODS; INTRA-CRANIAL PRESSURE; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; MISCLASSIFICATION RATES; OVERFITTING; REGULARIZATION METHODS; SHAPE FEATURES; SURFACE AREA; SURFACE POINTS;

EID: 84858965517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2147805.2147847     Document Type: Conference Paper
Times cited : (14)

References (10)
  • 9
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, 58(1):267-288, 1996.
    • (1996) Journal of the Royal Statistical Society , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.