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Volumn , Issue , 2008, Pages 570-574

Multi-concept document classification using a perceptron-like algorithm

Author keywords

[No Author keywords available]

Indexed keywords

AVIATION SAFETIES; CLASS LABELS; DOCUMENT CLASSIFICATIONS; FEATURE SETS; FLIGHT ANOMALIES; HIERARCHICAL CATEGORIZATIONS; INNER PRODUCTS; LOSS FUNCTIONS; MULTIPLE CLASS PROBLEMS; MULTIPLE LABELS; PERCEPTRON; PERCEPTRON ALGORITHMS; REPORTING SYSTEMS; SPECIFIC LOSS FUNCTIONS; WEIGHT UPDATES; WEIGHT VECTORS;

EID: 62949246369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIIAT.2008.410     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 4
    • 35348895042 scopus 로고    scopus 로고
    • Y Li and K. Bontcheva. Hierarchical, perceptron-like learning for ontology-based information extraction. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 777-786, New York, NY, USA, 2007. ACM.
    • Y Li and K. Bontcheva. Hierarchical, perceptron-like learning for ontology-based information extraction. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 777-786, New York, NY, USA, 2007. ACM.
  • 7
    • 62949219797 scopus 로고    scopus 로고
    • S. Project. Proto ontology (proton), http://proton.semanticweb.org.
    • S. Project. Proto ontology (proton), http://proton.semanticweb.org.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.