570 search results - page 45 / 114 » When does Co-training Work in Real Data |
132
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GECCO
2009
Springer
15 years 7 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
157
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NIPS
2007
15 years 5 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
131
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
122
Voted
CVPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
113
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ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...