Building text classifiers using positive and unlabeled examples (2003)

by Bing Liu , Yang Dai , Xiaoli Li , Wee Sun Lee , Philip S. Yu
Venue:In: Intl. Conf. on Data Mining
Citations:66 - 10 self

Active Bibliography

58 Learning to classify text using positive and unlabeled data – Xiaoli Li, Bing Liu - 2003
7 Learning from positive and unlabeled examples with different data distributions – Xiao-li Li, Bing Liu - 2005
45 Text classification by labeling words – Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu - 2004
444 Semi-Supervised Learning Literature Survey – Xiaojin Zhu - 2006
41 Active Learning with Multiple Views – Ion Muslea, Steven Minton, Craig A. Knoblock - 2002
3 Negative Training Data can be Harmful to Text Classification – Xiao-li Li, Bing Liu, See-kiong Ng
Building Maximum Entropy . . . – Zhang Xinhua
8 A Simple Probabilistic Approach to Learning from Positive and Unlabeled Examples – Dell Zhang - 2005
3 Learning to Identify Unexpected Instances in the Test Set – Xiao-li Li
1 Learning to Classify Documents with Only a Small Positive Training Set – Xiao-li Li, Bing Liu, See-kiong Ng
Text Categorization with a Small Number of . . . – Kang Hyuk Lee - 2003
7 Positive Unlabeled Learning for Data Stream Classification – Xiao-li Li, Philip S. Yu, Bing Liu, See-kiong Ng - 2009
Comparison of Classification Techniques for Thai Web Document Classification – Udomsit Sukakanya, Kriengkrai Porkaew
International Journal of Electrical and Computer Engineering 4:7 2009 Comparison of Classification Techniques for Thai Web Document Classification – Udomsit Sukakanya, Kriengkrai Porkaew
49 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
3 Robust Statistical Techniques for the Categorization of Images Using Associated Text – Carl Sable - 2003
5 Asymmetric Missing-Data Problems: Overcoming the Lack of Negative Data in Preference Ranking – Aleksander Kołcz, Joshua Alspector - 2002
4 Semi-supervised Text Classification Using Partitioned EM – Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu - 2004
164 Learning with Labeled and Unlabeled Data – Matthias Seeger - 2001