Dual transfer learning

Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012

Volumn , Issue , 2012, Pages 540-551

  Long, Mingsheng ^a   Wang, Jianmin ^a,b   Ding, Guiguang ^a,b   Cheng, Wei ^c   Zhang, Xiang ^d   Wang, Wei ^c  

^a TSINGHUA UNIVERSITY   (China)

^b Tsinghua University   (United States)

^c CB 3175 Sitterson Hall   (United States)

^d Case Western Reserve University   (United States)

Author keywords

Cross domain classifi cation; Dual transfer learning; Nonnegative matrix tri factorization; Transfer learning

Indexed keywords

DATA MINING; FACTORIZATION; LEARNING SYSTEMS; MATRIX ALGEBRA; OPTIMIZATION;

ALTERNATING MINIMIZATION ALGORITHMS; CONDITIONAL DISTRIBUTION; CROSS-DOMAIN; MARGINAL DISTRIBUTION; NON-NEGATIVE MATRIX; OPTIMIZATION PROBLEMS; TRANSFER LEARNING; TRANSFER LEARNING METHODS;

KNOWLEDGE MANAGEMENT;

EID: 84868294775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972825.47     Document Type: Conference Paper

References (25)

1. M. Belkin, P. Niyogi, and V. Sindhwani, Manifold regularization: A geometric framework for learning from labeled and unlabeled examples, Journal of Machine Learning Research, 7 (2006), pp. 2399-2434.
2. J. Blitzer, R. McDonald, and F. Pereira, Domain adaptation with structural correspondence learning, in Proceedings of the 2006 Conference on Empirical Meth- ods in Natural Language Processing, EMNLP, 2006.
3. S. Boyd and L. Vandenberghe, Convex Optimiza- Tion, Cambridge University Press, 2004.
4. B. Cao, S. J. Pan, Y. Zhang, D.-Y. Yeung, and Q. Yang, Adaptive transfer learning, in Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI, 2010.
5. W. Dai, O. Jin, G.-R. Xue, Q. Yang, and Y. Yu, Eigentransfer: A unified framework for transfer learn- ing, in Proceedings of the 26th International Conference on Machine Learning, ICML, 2009.
6. W. Dai, G.-R. Xue, Q. Yang, and Y. Yu, Co- clustering based classification for out-of-domain docu- ments, in Proceedings of the 13th ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining, KDD, 2007.
7. W. Dai, Q. Yang, G.-R. Xue, and Y. Yu, Boosting for transfer learning, in Proceedings of the 24th Inter- national Conference on Machine Learning, ICML, 2007.
8. C. Ding, T. Li, W. Peng, and H. Park, Orthogonal nonnegative matrix tri-factorizations for clustering, in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD, 2006.
9. J. Gao, W. Fan, J. Jiang, and J. Han, Knowledge transfer via multiple model local structure mapping, in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD, 2008.
10. S. K. Gupta, D. Phung, B. Adams, T. Tran, and S. Venkatesh, Nonnegative shared subspace learning and its application to social media retrieval, in Proceed- ings of the 16th ACM SIGKDD International Confer- ence on Knowledge Discovery and Data Mining, KDD, 2010.
11. J. Jiang and C. Zhai, Instance weighting for domain adaptation in nlp, in Proceedings of the 45th Annual Meeting of the Association of Computational Linguis- Tics, ACL, 2007.
12. T. Joachims, Transductive inference for text classification using support vector machines, in Proceedings of the 16th International Conference on Machine Learn- ing, ICML, 1999.
13. D. D. Lee and H. S. Seung, Algorithms for non- negative matrix factorization, in Proceedings of Neural Information Processing Systems 14, NIPS, 2000.
14. X. Ling, W. Dai, G.-R. Xue, Q. Yang, and Y. Yu, Spectral domain-transfer learning, in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD, 2008.
15. M. Long, W. Cheng, X. Jin, J.Wang, and D. Shen, Transfer learning via cluster correspondence inference, in Proceedings of the 10th IEEE International Confer- ence on Data Mining, ICDM, 2010.
16. S. J. Pan, X. Ni, J.-T. Sun, Q. Yang, and Z. Chen, Cross-domain sentiment classification via spectral fea- Ture alignment, in Proceedings of the 19th International Conference on World Wide Web, WWW, 2010.
17. S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang, Domain adaptation via transfer component analysis, IEEE Transactions on Neural Networks, 22 (2011), pp. 199-210.
18. S. J. Pan and Q. Yang, A survey on transfer learning, IEEE Transactions on Knowledge and Data Engineer- ing, 22 (2010), pp. 1345-1359.
19. F. Wang, T. Li, and C. Zhang, Semi-supervised clus- Tering via matrix factorization, in Proceedings of the 8th SIAM International Conference on Data Mining, SDM, 2008.
20. H. Wang, H. Huang, F. Nie, and C. Ding, Cross- language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization, in Proceedings of the 34th International ACM SIGIR Con- ference on Research and Development in Information Retrieval, SIGIR, 2011.
21. Z. Wang, Y. Song, and C. Zhang, Knowledge trans- fer on hybrid graph, in Proceedings of the 21st Inter- national Joint Conference on Artificial Intelligence, IJ- CAI, 2009.
22. E. Zhong, W. Fan, J. Peng, K. Zhang, J. Ren, D. Turaga, and O. Verscheure, Cross domain dis- Tribution adaptation via kernel mapping, in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD, 2009.
23. X. Zhu, Semi-supervised learning literature survey, tech. report, 2008.
24. F. Zhuang, P. Luo, Z. Shen, Q. He, Y. Xiong, Z. Shi, and H. Xiong, Collaborative dual-plsa mining distinction and commonality across multiple domains for text classification, in Proceedings of the 19th ACM International Conference on Information and Knowl- edge Management, CIKM, 2010.
25. F. Zhuang, P. Luo, H. Xiong, Q. He, Y. Xiong, and Z. Shi, Exploiting associations between word clus- Ters and document classes for cross-domain text catego- rization, in Proceedings of the 10th SIAM International Conference on Data Mining, SDM, 2010.