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Volumn , Issue , 2004, Pages

Log-linear models for label ranking

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INFORMATION RETRIEVAL;

EID: 84898970009     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (14)
  • 1
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
    • M. Collins and N. Duffy. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In 30th Annual Meeting of the ACL, 2002.
    • (2002) 30th Annual Meeting of the ACL
    • Collins, M.1    Duffy, N.2
  • 2
    • 0036643072 scopus 로고    scopus 로고
    • Logistic regression, ada boost and bregman distances
    • M. Collins, R.E. Schapire, and Y. Singer. Logistic regression, Ada Boost and Bregman distances. Machine Learning, 47(2/3):253-285, 2002.
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 253-285
    • Collins, M.1    Schapire, R.E.2    Singer, Y.3
  • 3
    • 1942515261 scopus 로고    scopus 로고
    • Pranking with ranking
    • K. Crammer and Y. Singer. Pranking with ranking. NIPS 14, 2001.
    • (2001) NIPS , vol.14
    • Crammer, K.1    Singer, Y.2
  • 4
    • 0142228873 scopus 로고    scopus 로고
    • A new family of online algorithms for category ranking
    • K. Crammer and Y. Singer. A new family of online algorithms for category ranking. Jornal of Machine Learning Research, 3:1025-1058, 2003.
    • (2003) Jornal of Machine Learning Research , vol.3 , pp. 1025-1058
    • Crammer, K.1    Singer, Y.2
  • 5
    • 84899003943 scopus 로고    scopus 로고
    • Smooth epsilon-insensitive regression by loss symmetrization
    • O. Dekel, S. Shalev-Shwartz, and Y. Singer. Smooth epsilon-insensitive regression by loss symmetrization. COLT 16, 2003.
    • (2003) COLT , vol.16
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 6
    • 2542631648 scopus 로고    scopus 로고
    • A kernel method for multi-labeled classification
    • A. Elisseeff and J. Weston. A kernel method for multi-labeled classification. NIPS 14, 2001.
    • (2001) NIPS , vol.14
    • Elisseeff, A.1    Weston, J.2
  • 8
    • 84898931991 scopus 로고    scopus 로고
    • Boosting and ML for exponential models
    • G. Lebanon and J. Lafferty. Boosting and ML for exponential models. NIPS 14, 2001.
    • (2001) NIPS , vol.14
    • Lebanon, G.1    Lafferty, J.2
  • 9
    • 56349152151 scopus 로고    scopus 로고
    • Conditional models on the ranking poset
    • G. Lebanon and J. Lafferty. Conditional models on the ranking poset. NIPS 15, 2002.
    • (2002) NIPS , vol.15
    • Lebanon, G.1    Lafferty, J.2
  • 10
    • 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, 32(2/3), 2000.
    • (2000) Machine Learning , vol.32 , Issue.2-3
    • Schapire, R.E.1    Singer, Y.2
  • 11
    • 21844466146 scopus 로고    scopus 로고
    • Ranking with large margin principle
    • A. Shashua and A. Levin. Ranking with large margin principle. NIPS 15, 2002.
    • (2002) NIPS , vol.15
    • Shashua, A.1    Levin, A.2
  • 14
    • 84898999437 scopus 로고    scopus 로고
    • Reuters Corpus Vol. 1. http://about.reuters.com/researchandstandards/ corpus/.
    • Reuters Corpus , vol.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.