Transfer of supervision for improved address standardization

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2178-2181

  Kothari, G ^a   Faruquie, Tanveer A ^a   Subramaniam, L Venkata ^a   Prasad, K Hima ^a   Mohania, Mukesh K ^a  

^a IBM RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT DISTRIBUTIONS; DATA SOURCE; DIRICHLET PROCESS; FEATURE PROJECTION; HIERARCHICAL DIRICHLET PROCESS; LABOR INTENSIVE; MULTIPLE SOURCE; SEMANTIC RELATIONS; SHARED COMPONENTS;

PATTERN RECOGNITION;

VARIATIONAL TECHNIQUES;

EID: 78149483335     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.533     Document Type: Conference Paper

References (11)

1. S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira. Analysis of representations for domain adaptation. In Proceedings of NIPS, 2007.
2. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 2003.
3. H. Daume, III. Frustratingly easy domain adaptation. In Proceedings of ACL, pages 256-263. ACL, 2007.
4. T. A. Faruquie, K. H. Prasad, L. V. Subramaniam, M. K. Mohania, G. Venkatachaliah, S. Kulkarni, and P. Basu. Data cleansing as a transient service. In ICDE, 2010.
5. J. Huang, A. Gretton, B. Schlkopf, A. J. Smola, and K. M. Borgwardt. Correcting sample selection bias by unlabeled data. In Proceedings of NIPS. MIT Press, 2007.
6. J. D. Lafferty, A. Mccallum, and F. C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, 2001.
7. S. N. Maceachern and P. Müller. Estimating mixture of dirichlet process models. Journal of Computational and Graphical Statistics, 7(2):223-238, 1998. (Pubitemid 128094873)
8. A. Mccallum, D. Freitag, and F. Pereira. Maximum entropy markov models for information extraction and segmentation. In Proceedings of ICML, 2000.
9. S. Satpal and S. Sarawagi. Domain adaptation of conditional probability models via feature subsetting. In Proceedings of PKDD, pages 224-235, 2007.
10. Y.W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. Hierarchical dirichlet processes. Journal of the American Statistical Association, 2003.
11. Y. Xue, X. Liao, L. Carin, and B. Krishnapuram. Multi-task learning for classification with dirichlet process priors. Journal of Machine Learning Research, 2007.