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CICLING
2004
Springer
14 years 10 days ago
Automatic Learning Features Using Bootstrapping for Text Categorization
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
Wenliang Chen, Jingbo Zhu, Honglin Wu, Tianshun Ya...
AAAI
1997
13 years 8 months ago
Active Learning with Committees for Text Categorization
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
Ray Liere, Prasad Tadepalli
AIME
2003
Springer
14 years 5 days ago
Learning-Free Text Categorization
In this paper, we report on the fusion of simple retrieval strategies with thesaural resources in order to perform large-scale text categorization tasks. Unlike most related system...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...
DL
2000
Springer
173views Digital Library» more  DL 2000»
13 years 11 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
SIGIR
2010
ACM
13 years 10 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier