530 search results - page 49 / 106 » Learning Bounds for Domain Adaptation |
109
Voted
EMNLP
2007
15 years 2 months ago
2007
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
119
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
97
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TIP
2008
15 years 12 days ago
2008
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
IUI
1999
ACM
15 years 4 months ago
1999
ACM
From the few evaluations of adaptive navigation systems that have been performed, we see an emerging pattern where depending upon the domain, only certain types of adaptive naviga...
117
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AAAI
2011
14 years 16 days ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...