6715 search results - page 566 / 1343 » Learning from a Test Set |
234
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
265
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AROBOTS
2008
15 years 7 months ago
2008
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
263
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SIGIR
2012
ACM
13 years 9 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
234
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
188
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TNN
2011
15 years 2 months ago
2011
—In some applications, the probability of error of a given classifier is too high for its practical application, but we are allowed to gather more independent test samples from ...