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EMNLP
2010
13 years 5 months ago
2010
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
TNN
2010
13 years 2 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...