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Volumn 24, Issue 2, 2002, Pages 274-280

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

Author keywords

Linear classifiers; Optimal Bayesian classification; Pattern classification; Statistical pattern recognition

Indexed keywords

MINSKY PARADOX; NONEQUAL COVARIANCE MATRICES; OPTIMAL BAYESIAN LINEAR CLASSIFIERS; OPTIMAL PAIRWISE LINEAR CLASSIFIER; QUADRATIC POLYNOMIAL; STATISTICAL PATTERN RECOGNITION;

EID: 0036473040     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.982905     Document Type: Article
Times cited : (21)

References (17)
  • 6
    • 0032029282 scopus 로고    scopus 로고
    • Evolution and generalization of a single neurone: 1. Single-layer perception as seven statistical classifiers
    • (1998) Neural Networks , vol.11 , Issue.2 , pp. 283-296
    • Raudys, S.1
  • 7
    • 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
  • 12
    • 0004305747 scopus 로고    scopus 로고
    • On optimal pairwise linear classifiers for normal distributions: The d-dimensional case
    • technical report, School of Computer Science, Carleton Univ., Ottawa, Canada. In preparation
    • Rueda, L.G.1    Oommen, B.J.2
  • 14
    • 0004305747 scopus 로고    scopus 로고
    • On optimal pairwise linear classifiers for normal distributions: The two-dimensional case
    • Technical Report TR-00-03, School of Computer Science, Carleton Univ., Ottawa, Canada, May
    • (2000)
    • Rueda, L.G.1    Oommen, B.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.