메뉴 건너뛰기




Volumn 1, Issue , 2014, Pages 663-673

Condensed filter tree for cost-sensitive multi-label classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COSTS; FORESTRY; LEARNING SYSTEMS;

EID: 84919784225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (25)
  • 18
    • 33751524073 scopus 로고    scopus 로고
    • Discovering recurring anomalies in text reports regarding complex space systems
    • Srivastava, A.N. and Zane-Ulman, B. Discovering recurring anomalies in text reports regarding complex space systems. In IEEE Aerospace Conference, 2005.
    • (2005) IEEE Aerospace Conference
    • Srivastava, A.N.1    Zane-Ulman, B.2
  • 24
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • Zhang, M.-L. and Zhou, Z.-H. ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognition, 2007.
    • (2007) Pattern Recognition
    • Zhang, M.-L.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.