245 search results - page 3 / 49 » Can Document Selection Help Semi-supervised Learning |
119
Voted
NIPS
2007
15 years 4 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
141
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NLPRS
2001
Springer
15 years 7 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
143
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SDM
2004
SIAM
15 years 4 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
140
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ACL
2011
14 years 6 months ago
2011
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
129
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GRAPHICSINTERFACE
2009
15 years 12 days ago
2009
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...