358 search results - page 12 / 72 » Learning from labeled and unlabeled data on a directed graph |
103
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ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
COLT
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
112
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
ACL
2009
14 years 9 months ago
2009
For many NLP tasks, including named entity tagging, semi-supervised learning has been proposed as a reasonable alternative to methods that require annotating large amounts of trai...