220 search results - page 11 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
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ICMLA
2007
14 years 11 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
BMCBI
2010
14 years 9 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
ECIR
2007
Springer
14 years 11 months ago
2007
Springer
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...