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» Soft-Supervised Learning for Text Classification
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ICML
2005
IEEE
14 years 5 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
ICML
1998
IEEE
14 years 5 months ago
Improving Text Classification by Shrinkage in a Hierarchy of Classes
Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell...
ICML
1998
IEEE
14 years 5 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam
ICML
2003
IEEE
14 years 5 months ago
Text Classification Using Stochastic Keyword Generation
Cong Li, Ji-Rong Wen, Hang Li
ICML
2005
IEEE
14 years 5 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi