Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
Boosting a weak learning algorithm by majority
Information and Computation
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
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This paper proposes approaches for multilabeled text categorization based on the Boosting Algorithms. We discussed the performances of various feature selection methods for multi-labeled TC. Besides the multilabeled categorization, we also make efforts on ranking the labels assigned to the texts.