Semi-supervised learning for multi-component data classification

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2007, Pages 2754-2759

  Fujino, Akinori ^a   Ueda, Naonori ^a   Saito, Kazumi ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLASSIFICATION; DISCRIMINATIVE APPROACH; GENERALIZATION PERFORMANCE; HYBRID CLASSIFIER; LINK INFORMATIONS; MAXIMUM ENTROPY PRINCIPLE; SEMI-SUPERVISED LEARNING; TEST COLLECTION;

ARTIFICIAL INTELLIGENCE; SUPERVISED LEARNING; WEBSITES;

CLASSIFICATION (OF INFORMATION);

EID: 78751686757     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. A. L. Berger, S. A. Della Pietra, and V. J. Della Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71, 1996.
2. E. Brochu and N. Freitas. "name that song!": A probabilistic approach to querying on music and text. In Advances in Neural Information Processing Systems 15, pages 1505-1512. MIT Press, Cambridge, MA, 2003.
3. S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In Proceedings of ACM International Conference on Management of Data (SIGMOD-98), pages 307-318, 1998.
4. S. F. Chen and R. Rosenfeld. A Gaussian prior for smoothing maximum entropy models. Technical report, Carnegie Mellon University, 1999.
5. D. Cohn and T. Hofmann. The missing link - a probabilistic model of document content and hypertext connectivity. In Advances in Neural Information Processing Systems 13, pages 430-436. MIT Press, Cambridge, MA, 2001.
6. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39:1-38, 1977.
7. A. Fujino, N. Ueda, and K. Saito. A classifier design based on combining multiple components by maximum entropy principle. In Information Retrieval Technology (AIRS2005 Proceedings), LNCS, volume 3689, pages 423-438. Springer-Verlag, Berlin, Heidelberg, 2005.
8. A. Fujino, N. Ueda, and K. Saito. A hybrid generative/discriminative approach to semi-supervised classifier design. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05), pages 764-769, 2005.
9. Y. Grandvalet and Y. Bengio. Semi-supervised learning by entropy minimization. In Advances in Neural Information Processing Systems 17, pages 529-536. MIT Press, Cambridge, MA, 2005.
10. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, New York Berlin Heidelberg, 2001.
11. T. Joachims. Transductive inference for text classification using support vector machines. In Proceedings of the 16th International Conference on Machine Learning (ICML-99), pages 200-209, 1999.
12. Q. Lu and L. Getoor. Link-based text classification. In IJCAI Workshop on Text-Mining & Link-Analysis (TextLink 2003), 2003.
13. A. Y. Ng and M. I. Jordan. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In Advances in Neural Information Processing Systems 14, pages 841-848. MIT Press, Cambridge, MA, 2002.
14. K. Nigam, J. Lafferty, and A. McCallum. Using maximum entropy for text classification. In IJCAI-99 Workshop on Machine Learning for Information Filtering, pages 61-67, 1999.
15. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39:103-134, 2000. (Pubitemid 30594822)
16. R. Raina, Y. Shen, A. Y. Ng, and A. McCallum. Classification with hybrid generative/discriminative models. In Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
17. M. Seeger. Learning with labeled and unlabeled data. Technical report, University of Edinburgh, 2001.
18. A. Sun, E. P. Lim, and W. K. Ng. Web classification using support vector machine. In Proceedings of 4th Int. Workshop on Web Information and Data Management (WIDM 2002) held in conj. with CIKM 2002, pages 96-99, 2002.