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AAAI
2012
7 years 10 months ago
Transportability of Causal Effects: Completeness Results
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
Elias Bareinboim, Judea Pearl
AAAI
2012
7 years 10 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
ACL
2012
7 years 10 months ago
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons
Extracting sentiment and topic lexicons is important for opinion mining. Previous works have showed that supervised learning methods are superior for this task. However, the perfo...
Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, ...
ACL
2012
7 years 10 months ago
Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation
This paper presents grammar error correction for Japanese particles that uses discriminative sequence conversion, which corrects erroneous particles by substitution, insertion, an...
Kenji Imamura, Kuniko Saito, Kugatsu Sadamitsu, Hi...
CVPR
2012
IEEE
7 years 10 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
CVPR
2012
IEEE
7 years 10 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
PAMI
2012
7 years 10 months ago
Domain Transfer Multiple Kernel Learning
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Lixin Duan, Ivor W. Tsang, Dong Xu
DAGM
2011
Springer
8 years 8 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
AAAI
2011
8 years 8 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
AAAI
2011
8 years 8 months ago
Cross-Language Latent Relational Search: Mapping Knowledge across Languages
Latent relational search (LRS) is a novel approach for mapping knowledge across two domains. Given a source domain knowledge concerning the Moon, “The Moon is a satellite of the...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...
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