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Volumn 2, Issue , 2001, Pages 784-789

Quantitative evaluation of dependence among outputs in ECOC classifiers using mutual information based measures

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENCODING (SYMBOLS); ERROR CORRECTION; IMAGE PROCESSING; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS;

EID: 0034877853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
  • 10
    • 0004137249 scopus 로고    scopus 로고
    • Mutual information methods for evaluating dependence among outputs in learning machines
    • DISI, Università di Genova
    • (2001) TR-01-02
    • Masulli, F.1    Valentini, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.