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Volumn 2168, Issue , 2001, Pages 266-276

Error correcting codes with optimized kullback-leibler distances for text categorization

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ERRORS; SIMULATED ANNEALING; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

EID: 37349023712     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-44794-6_22     Document Type: Article
Times cited : (7)

References (14)
  • 1
    • 0001868131 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Morgan Kaufmann, San Francisco, CA
    • Erin L. Allwein, Robert E. Schapire, and Yoram Singer. Reducing multiclass to binary: A unifying approach for margin classifiers. In Proc. 17th International Conf. on Machine Learning, pages 9-16. Morgan Kaufmann, San Francisco, CA, 2000.
    • (2000) Proc. 17Th International Conf. on Machine Learning , pp. 9-16
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 2
    • 0010099436 scopus 로고    scopus 로고
    • On the learnability and design of output codes for multiclass problems
    • Koby Crammer and Yoram Singer. On the learnability and design of output codes for multiclass problems. In Computational Learing Theory, pages 35-46, 2000.
    • (2000) Computational Learing Theory , pp. 35-46
    • Crammer, K.1    Singer, Y.2
  • 9
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • In C. Nedellec and C. Rouveirol, editors
    • T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In C. Nedellec and C. Rouveirol, editors, European Conference on Machine Learning (ECML), 1998.
    • (1998) European Conference on Machine Learning (ECML)
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.