Transfer learning on heterogenous feature spaces via spectral transformation

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2010, Pages 1049-1054

  Shi, Xiaoxiao ^a   Liu, Qi ^b   Fan, Wei ^c   Yu, Philip S ^a   Zhu, Ruixin ^b  

^a 1120 Science and Engineering Offices   (United States)

^b TONGJI UNIVERSITY   (China)

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

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; DATA DISTRIBUTION; ERROR RATE; EXPERIMENT DATA; FEATURE SPACE; HETEROGENEOUS SOURCES; LABELED DATA; ORIGINAL STRUCTURES; SAMPLE SELECTION; SOURCE DATA; SPECTRAL TRANSFORMATIONS; TEXT DATA; TRANSFER LEARNING;

DATA MINING;

EID: 79951757047     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2010.65     Document Type: Conference Paper

References (6)

1. R. Bhatia, Matrix analysis. Springeer-Cerlag, 1997.
2. J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman, Learning Bounds for Domain Adaptation. In Proc. of NIPS'07, 2007.
3. R. Caruana, Multitask learning. Machine Learning 28(1) 41-75, 1997. (Pubitemid 127507169)
4. S. J. Pan and Q. Yang, A Survey on Transfer Learning. Technical Report HKUST-CS08-08, Hong Kong University of Science and Technology, 2009.
5. X. Shi, Q. Liu, W. Fan, Q. Yang, and P. S. Yu, Predictive Modeling with Heterogeneous Sources. In Proc. of SDM'10, 2010.
6. Q. Yang, Y. Chen, G. Xue, W. Dai, and Y. Yu, Heterogeneous Transfer Learning for Image Clustering via the Social Web. In Proc. of ACL'09, 2009.