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Volumn , Issue , 2011, Pages

Multiple Instance Learning on structured data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONSTRAINT PROGRAMMING; CONSTRAINT THEORY; CONVEX OPTIMIZATION; LEARNING SYSTEMS;

EID: 85162553145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (22)
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  • 11
    • 1942484841 scopus 로고    scopus 로고
    • Identifying predictive structures in relational data using multiple instance learning
    • Amy McGovern and David Jensen. Identifying predictive structures in relational data using multiple instance learning. In ICML, 2003.
    • (2003) ICML
    • McGovern, A.1    Jensen, D.2
  • 12
    • 35148866185 scopus 로고    scopus 로고
    • Concurrent multiple instance learning for image categorization
    • G.J. Qi, X.S. Hua, Y. Rui, T. Mei, J. Tang, and H.J. Zhang. Concurrent multiple instance learning for image categorization. In CVPR, 2007.
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    • Qi, G.J.1    Hua, X.S.2    Rui, Y.3    Mei, T.4    Tang, J.5    Zhang, H.J.6
  • 13
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    • R. Rahmani and S.A. Goldman. MISSL: Multiple-instance semi-supervised learning. In ICML, 2006.
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    • Rahmani, R.1    Goldman, S.A.2
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    • Svm-based generalized multiple-instance learning via approximate box counting
    • Qingping Tao, Stephen D. Scott, N. V. Vinodchandran, and Thomas Takeo Osugi. Svm-based generalized multiple-instance learning via approximate box counting. In ICML, 2004.
    • (2004) ICML
    • Tao, Q.1    Scott, S.D.2    Vinodchandran, N.V.3    Osugi, T.T.4
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  • 17
    • 70350708534 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.