Learning with multiple labels

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Jin, Rong ^a   Ghahramani, Zoubin ^b  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; DISCRIMINATIVE APPROACH; LEARNING PROBLEM; MULTIPLE LABELS; TRAINING EXAMPLE; UCI DATASETS;

EID: 84899032037     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. A. Dempster, N. Laird and D. Rubin (1977), Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, 39 (Series B), 1-38.
3. T. G. Dietterich, R. H. Lathrop, and T. L. Perez (1997) Solving the multiple-instance problem with axis-parallel rectangles, Artificial Intelligence, 89(1-2), pp. 31-71.
4. A. McCallum (1999) Multi-label text classification with a mixture model trained by EM, AAAI'99 Workshop on Text Learning.
5. S. Delia Pietra, V. Delia Pietra and J. Lafferty (1997) Inducing features of random fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4): 380-393.
6. Y. Grandvalet (2002), Logistic regression for partial labels, 9th Information Processing and Management of Uncertainty in Knowledge-based System (IPMU'02), pp. 1935-1941.