Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Mining Bayesian Network Structure for Large Sets of Variables
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Text classification: a recent overview
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
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The paper presents results of empirical evaluation of a Bayesian multinet classifier based on a new method of learning very large tree-like Bayesian networks. The study suggests that tree-like Bayesian networks are able to handle a classification task in one hundred thousand variables with sufficient speed and accuracy.