5860 search results - page 56 / 1172 » Learning and Domain Adaptation |
138
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WEBI
2005
Springer
15 years 10 months ago
2005
Springer
This paper presents a Domain Modeling System, which builds a domain model framework for adaptive Web systems. It records concepts and the relationships among them and represents t...
116
Voted
EMNLP
2008
15 years 6 months ago
2008
Most state-of-the-art wide-coverage parsers are trained on newspaper text and suffer a loss of accuracy in other domains, making parser adaptation a pressing issue. In this paper ...
117
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PKDD
2007
Springer
15 years 10 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
151
Voted
EMNLP
2009
15 years 2 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
141
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ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...