2010 UnsupervisedTransferClassificat

• (Yang et al., 2010) ⇒ Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, and Wei Tong. (2010). “Unsupervised Transfer Classification: Application to Text Categorization.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835950

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• http://scholar.google.com/scholar?q=%22Unsupervised+transfer+classification%3A+application+to+text+categorization%22+2010
• http://portal.acm.org/citation.cfm?id=1835950&preflayout=flat#citedby

Quotes

Abstract

We study the problem of building the classification model for a target class in the absence of any labeled training example for that class. To address this difficult learning problem, we extend the idea of transfer learning by assuming that the following side information is available: (i) a collection of labeled examples belonging to other classes in the problem domain, called the auxiliary classes; (ii) the class information including the prior of the target class and the correlation between the target class and the auxiliary classes. Our goal is to construct the classification model for the target class by leveraging the above data and information. We refer to this learning problem as unsupervised transfer classification. Our framework is based on the generalized maximum entropy model that is effective in transferring the label information of the auxiliary classes to the target class. A theoretical analysis shows that under certain assumption, the classification model obtained by proposed approach converges to the optimal model when it is learned from the labeled examples for the target class. Empirical study on text categorization over four different data sets verifies the effectiveness of the proposed approach.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 UnsupervisedTransferClassificat	Tianbao Yang Rong Jin Anil K. Jain Yang Zhou Wei Tong			Unsupervised Transfer Classification: Application to Text Categorization		KDD-2010 Proceedings		10.1145/1835804.1835950		2010