Actively transfer domain knowledge

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5212 LNAI, Issue PART 2, 2008, Pages 342-357

  Shi, Xiaoxiao ^a   Fan, Wei ^b   Ren, Jiangtao ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; LABELS; LEARNING SYSTEMS; REMOTE SENSING; ROBOT LEARNING; SPACE OPTICS; TEXT PROCESSING;

ACTIVE LEARNING METHODS; ACTIVE LEARNINGS; CLASS LABELS; CLASSIFICATION ACCURACIES; DATA SETS; DIFFERENT DOMAINS; DO-MAINS; DOMAIN EXPERTS; DOMAIN KNOWLEDGES; EXPERIMENTAL STUDIES; INDUCTIVE LEARNINGS; LEARNING ACCURACIES; REAL WORLDS; SAMPLING ERRORS; TEXT CLASSIFICATION PROBLEMS; TRANSFER DOMAINS; TRANSFER LEARNINGS; TWO TYPES;

EDUCATION;

EID: 56049115176     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_23     Document Type: Conference Paper

References (18)

1. Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Analysis of representations for domain adaptation. In: Proc. of NIPS 2006 (2007)
2. Bickel, S., Brückner, M., Scheffer, T.: Discriminative learning for differing training and test distributions. In: Proc. of ICML 2007 (2007)
3. Daumé III, H., Marcu, D.: Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research 26, 101-126 (2006)
4. Dai, W., Yang, Q., Xue, G., Yu, Y.: Boosting for transfer learning. In: Proc. of ICML 2007 (2007)
5. Fan, W., Davidson, I.: On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples. In: Proc. of SDM 2007 (2007)
6. Freund, Y., Seung, H., Shamir, E., Tishby, N.: Selective sampling using the Query By Committee algorithm. Machine Learning Journal 28, 133-168 (1997)
7. Huang, J., Smola, A.J., Gretton, A., Borgwardt, K.M., Schölkopf, B.: Correcting sample selection bias by unlabeled data. In: Proc. of NIPS 2006 (2007)
8. Körner, C., Wrobel, S.: Multi-class Ensemble-Based Active Learning. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212. Springer, Heidelberg (2006)
9. Lewis, D., Gale, W.: A sequential algorithm for training text classifiers. In: Proc. of SIGIR 1994 (1994)
10. Ren, J., Shi, X., Fan, W., Yu, P.: Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. In: Proc. of SDM 2008 (2008)
11. Roy, N., McCallum, A.: Toward optimal active learning through sampling estimation of error reduction. In: Proc. of ICML 2001 (2001)
12. Satpal, S., Sarawagi, S.: Domain adaptation of conditional probability models via feature subsetting. In: Kok, J.N., Koronacki, J., López de Mántaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702. Springer, Heidelberg (2007)
13. Senung, H.S., Opper, M., Sompolinsky, H.: Query by committee. In: Proc. 5th Annual ACM Workshop on Computational Learning Theory (1992)
14. Shimodaira, H.: Inproving predictive inference under covariate shift by weighting the log-likehood function. Journal of Statistical Planning and Inference 90, 227-244 (2000)
15. Sugiyama, M., Rubens, N.: Active Learning with Model Selection in Linear Regression. In: Proc. of SDM 2008 (2008)
16. Xing, D., Dai, W., Xue, G., Yu, Y.: Bridged refinement for transfer learning. In: Kok, J.N., Koronacki, J., López de Mántaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702. Springer, Heidelberg (2007)
17. Xue, Y., Liao, X., Carin, L., Krishnapuram, B.: Multi-task learning for classification with dirichlet process priors. Journal of Machine Learning Research 8, 35-63 (2007)
18. Xu, Z., Tresp, Y.K., Xu, V., Wang, X.: Representative sampling for text classification using support vector machines. In: Sebastiani, F. (ed.) ECIR 2003. LNCS, vol. 2633. Springer, Heidelberg (2003)