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Volumn , Issue , 2005, Pages

Maximal margin labeling for multi-topic text categorization

Author keywords

[No Author keywords available]

Indexed keywords

DATA SPARSENESS; LABEL PROTOTYPES; MAXIMAL MARGIN; MULTI-CLASS CATEGORIZATION; MULTI-CLASS CLASSIFIER; PRIOR KNOWLEDGE; STATISTICAL LEARNING; TEXT CATEGORIZATION;

EID: 84899033524     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (96)

References (7)
  • 1
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Claire Nedellec and Celine Rouveirol, editors
    • Thorsten Joachims. Text categorization with support vector machines: learning with many relevant features. In Claire Nedellec and Celine Rouveirol, editors, Proc. of the 10th European Conference on Machine Learning, number 1398, pages 137-142, 1998.
    • (1998) th European Conference on Machine Learning , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 2
    • 0033905095 scopus 로고    scopus 로고
    • Boos texter: A boosting-based system for text categorization
    • Robert E. Schapire and Yoram Singer. BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 4
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Koby Crammer and Yoram Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2:265-292, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.