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106
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FOIKS
2008
Springer
15 years 1 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
121
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LREC
2008
15 years 1 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
120
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
KDD
2006
ACM
16 years 3 days ago
2006
ACM
EDM
2010
15 years 1 months ago
2010
We show a variety of ways to cluster student activity datasets using different clustering and subspace clustering algorithms. Our results suggest that each algorithm has its own st...