2009 CrossDomainDistributionAdaptati

• (Zhong et al., 2009) ⇒ Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak Turaga, and Olivier Verscheure. (2009). “Cross Domain Distribution Adaptation via Kernel Mapping.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557130

Subject Headings:

Notes

• Categories and Subject Descriptors: H.2.8 Database Management: Database Applications − Data Mining.
• General Terms: Algorithms

Cited By

• http://scholar.google.com/scholar?q=%22Cross+domain+distribution+adaptation+via+kernel+mapping%22+2009
• http://portal.acm.org/citation.cfm?doid=1557019.1557130&preflayout=flat#citedby

Quotes

Abstract

When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the assumption made by existing approaches, that the marginal and conditional probabilities are directly related between source and target domains, has limited applicability in either the original space or its linear transformations. To solve this problem, we propose an adaptive kernel approach that maps the marginal distribution of target-domain and source-domain data into a common kernel space, and utilize a sample selection strategy to draw conditional probabilities between the two domains closer. We formally show that under the kernel-mapping space, the difference in distributions between the two domains is bounded; and the prediction error of the proposed approach can also be bounded. Experimental results demonstrate that the proposed method outperforms both traditional inductive classifiers and the state-of-the-art boosting-based transfer algorithms on most domains, including text categorization and web page ratings. In particular, it can achieve around 10% higher accuracy than other approaches for the text categorization problem. The source code and datasets are available from the authors.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 CrossDomainDistributionAdaptati	Wei Fan Erheng Zhong Jing Peng Kun Zhang Jiangtao Ren Deepak Turaga Olivier Verscheure			Cross Domain Distribution Adaptation via Kernel Mapping		KDD-2009 Proceedings		10.1145/1557019.1557130		2009