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Volumn , Issue , 2007, Pages 714-719

Exploiting known taxonomies in learning overlapping concepts

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL METHOD; LEARNING ARCHITECTURES; MULTI-LABEL; MULTI-LABEL CLASSIFICATIONS; PERCEPTRON; PERFORMANCE IMPROVEMENTS; PRIOR KNOWLEDGE; REAL-WORLD;

EID: 84880887867     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (47)

References (17)
  • 4
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    • On the algorithmic implementation of multi-class kernel-based vector machines
    • K. Crammer and Y. Singer. On the algorithmic implementation of multi-class 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
  • 6
    • 0036161257 scopus 로고    scopus 로고
    • Linear programming boosting via column generation
    • Ayhan Demiriz, Kristin P. Bennett, and John Shawe-Taylor. Linear programming boosting via column generation. Machine Learning, 46(1-3):225-254, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 225-254
    • Demiriz, A.1    Bennett, K.P.2    Shawe-Taylor, J.3
  • 7
    • 0033656184 scopus 로고    scopus 로고
    • Hierarchical classification of Web content
    • S. T. Dumais and H. Chen. Hierarchical classification of Web content. In SIGIR, pages 256-263, 2000.
    • (2000) SIGIR , pp. 256-263
    • Dumais, S.T.1    Chen, H.2
  • 9
    • 36149029495 scopus 로고
    • Learning algorithms with optimal stability in neural networks
    • Werner Krauth and Marc Mézard. Learning algorithms with optimal stability in neural networks. Journal of Physics A., 20(745):L745-L752, 1987.
    • (1987) Journal of Physics A , vol.20 , Issue.745
    • Krauth, W.1    Mézard, M.2
  • 11
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press
    • J. C. Platt. Fast training of support vector machines using sequential minimal optimization. In Advances in Kernel Methods - Support Vector Learning, pages 185-208. MIT Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 12
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Frank Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6):386-408, 1958.
    • (1958) Psychological Review , vol.65 , Issue.6 , pp. 386-408
    • Rosenblatt, F.1
  • 14
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • R. E. Schapire and Y. Singer. Boostexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, 2000. (Pubitemid 30594821)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.