392 search results - page 44 / 79 » Selecting a Relevant Set of Examples to Learn IE-Rules |
CEAS
2007
Springer
15 years 3 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
104
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IIR
2010
15 years 1 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
104
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ICMCS
2009
IEEE
14 years 9 months ago
2009
IEEE
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
DGO
2008
15 years 1 months ago
2008
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
AIME
2007
Springer
15 years 6 months ago
2007
Springer
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...