220 search results - page 4 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
NIPS
2008
14 years 11 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
82
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IJCAI
2007
14 years 11 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
COLING
2000
14 years 10 months ago
2000
The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous works in this area have used a large number of labeled train...
103
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SDM
2004
SIAM
14 years 10 months ago
2004
SIAM
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
84
Voted
IS
2008
14 years 9 months ago
2008
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...