We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. We present results comparing the. BoosTexter is a general purpose machine-learning program based on boosting for building a BoosTexter: A boosting-based system for text categorization. BoosTexter: A Boosting-based Systemfor Text Categorization . In Advances in Neural Information Processing Systems 8 (pp. ). 8.
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Advances in neural information processing systems, References Publications referenced by this paper.
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BoosTexter: A Boosting-based System for Text Categorization
Get my own profile Cited by View all All Since Citations h-index 75 54 iindex We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks.
Categorization Boosting machine learning. Citation Statistics 2, Citations 0 ’99 ’03 ’08 ’13 ‘ An evaluation of statistical approaches. Advances in Neural Information Processing Systems, New articles related to this author’s research. Journal of machine learning research 1 Dec, Nonlinear estimation and classification, Categorization Search for additional papers on this topic. Our approach is based on a new and improved family of boosting algorithms.
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Reducing multiclass to binary: We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. My profile My library Metrics Alerts. The strength of weak learnability RE Schapire Machine learning 5 2, Showing of 1, extracted citations.
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Improved boosting algorithms using confidence-rated predictions RE Schapire, Y Singer Machine learning 37 3, Skip to search form Skip to main content. Journal of machine learning research 4 Nov, Large margin classification using the perceptron algorithm Y Freund, RE Schapire Machine learning 37 3, Their combined citations are counted only for the first article.