1364 search results - page 238 / 273 » Sampling Methods for Unsupervised Learning |
128
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ACL
2003
15 years 3 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...
81
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NIPS
2003
15 years 3 months ago
2003
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
111
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CORR
2006
Springer
15 years 2 months ago
2006
Springer
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
112
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IJCV
1998
15 years 1 months ago
1998
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
103
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ISVC
2010
Springer
15 years 19 days ago
2010
Springer
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...