2363 search results - page 116 / 473 » Learning Algorithms for Domain Adaptation |
128
Voted
IWANN
1999
Springer
15 years 7 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
105
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IUI
1999
ACM
15 years 7 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...
137
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WSDM
2012
ACM
13 years 10 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
147
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AAAI
2011
14 years 2 months 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...
144
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TSMC
2008
15 years 2 months ago
2008
Recently, much work has been done in multiple ob-4 ject tracking on the one hand and on reference model adaptation5 for a single-object tracker on the other side. In this paper, we...