1863 search results - page 151 / 373 » A supervised learning approach for imbalanced data sets |
112
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KES
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
142
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TMI
2008
15 years 4 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
147
Voted
GECCO
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
154
Voted
ACL
2012
13 years 7 months ago
2012
Although much work on relation extraction has aimed at obtaining static facts, many of the target relations are actually fluents, as their validity is naturally anchored to a cer...
133
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SIGMOD
2010
ACM
15 years 9 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...