4578 search results - page 300 / 916 » Learning from Multi-source Data |
112
Voted
ALT
2009
Springer
15 years 6 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
140
Voted
UAI
1996
15 years 4 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
129
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SDM
2010
SIAM
15 years 4 months ago
2010
SIAM
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
128
Voted
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
132
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...