Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification

The distribution difference among multiple domains has been exploited for cross-domain text categorization in recent years. Along this line, we show two new observations in this study. First, the data distribution difference is often due to the fact that different domains use different index words t...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2012-11, Vol.24 (11), p.2025-2039
Hauptverfasser:	Zhuang, Fuzhen, Luo, Ping, Shen, Zhiyong, He, Qing, Xiong, Yuhong, Shi, Zhongzhi, Xiong, Hui
Format:	Artikel
Sprache:	eng
Schlagworte:	classification Collaboration Companies cross-domain learning Data models distinction and commonality Graphical models Joints Mathematical model Statistical generative models Training
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