Learning from data of variable quality

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages 219-226

  Crammer, Koby ^a   Kearns, Michael ^a   Wortman, Jennifer ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLETE THEORY; DATA SOURCE; LIMITED DATA; MULTIPLE SOURCE; OPTIMAL SUBSETS;

ALGORITHMS;

EID: 84864042015     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. A. Blum and T.Mitchell. Combining labeled and unlabeled data with co-training. In Proceedings of the Eleventh Annual Conference on Computational Learning Theory, pages 92-100, 1998.
2. V. N. Vapnik. Statistical Learning Theory. Wiley, 1998.
3. M. J. Kearns and U. V. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
4. D. Haussler, M. Kearns, H.S. Seung, and N. Tishby. Rigorous learning curve bounds from statistical mechanics. In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages 76-87, 1994.
5. K. Crammer, M. Kearns, and J. Wortman. Forthcoming. 2006.
6. M. Kearns, R. Schapire, and L. Sellie. Towards efficient agnostic learning. Machine Learning, 17:115-141, 1994.