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Volumn 34, Issue 12, 2001, Pages 2319-2330

On output independence and complementariness in rank-based multiple classifier decision systems

Author keywords

Bayesian formalism; Classifier observation space; Complementariness; Entropy; Event space partitioning; Independence; Multiple classifier systems; Mutual information; Ranks; Statistical classifier combination; Statistical decision combination; Statistical pattern recognition

Indexed keywords

COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; INFORMATION THEORY; SPACE APPLICATIONS;

EID: 0035546359     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00175-8     Document Type: Article
Times cited : (9)

References (30)
  • 6
    • 0027961797 scopus 로고
    • Combining the results of several neural network classifiers
    • (1994) Neural Networks , vol.7 , Issue.5 , pp. 777-781
    • Rogova, G.1
  • 24
    • 0000447222 scopus 로고
    • Lowering variance of decisions using artificial neural networks portfolios
    • (1991) Neural Comput , vol.3 , pp. 484-486
    • Mani, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.