41 search results - page 6 / 9 » Active Selection of Training Examples for Meta-Learning |
PAMI
2011
13 years 2 months ago
2011
—In this work, we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data were recorded using an electrooculography (EOG) system. ...
ECML
2005
Springer
14 years 27 days ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
DGO
2008
13 years 8 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...
CEAS
2007
Springer
13 years 11 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...
IIR
2010
13 years 8 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 ...