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Volumn 36, Issue 1, 2003, Pages 13-23

On optimal pairwise linear classifiers for normal distributions: The d-dimensional case

Author keywords

Bayesian classification; Linear classifiers; Medical diagnosis; Minsky's paradox; Multi dimensional normal distributions; Optimal classifiers

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; OPTIMAL SYSTEMS; VECTORS;

EID: 0037209417     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(02)00053-5     Document Type: Article
Times cited : (8)

References (20)
  • 1
    • 0036473040 scopus 로고    scopus 로고
    • On optimal pairwise linear classifiers for normal distributions: The two-dimensional case
    • Also available as a Technical Report TR-01-01, School of Computer Science, Carleton University, Ottawa, Canada, 2001
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.4 , Issue.1 , pp. 74-280
    • Rueda, L.1    Oommen, B.J.2
  • 7
    • 0032029282 scopus 로고    scopus 로고
    • Evolution and generalization of a single neurone: I. Single-layer perception as seven statistical classifiers
    • (1998) Neural Networks , vol.11 , Issue.2 , pp. 283-296
    • Raudys, S.1
  • 8
    • 0032029243 scopus 로고    scopus 로고
    • Evolution and generalization of a single neurone: II. Complexity of statistical classifiers and sample size considerations
    • (1998) Neural Networks , vol.11 , Issue.2 , pp. 297-313
    • Raudys, S.1
  • 13
    • 0034818997 scopus 로고    scopus 로고
    • A linear constrained distance-based discriminant analysis for hyperspectral image classification
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 361-373
    • Du, Q.1    Chang, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.