112 search results - page 1 / 23 » Selective generation of training examples in active meta-lea... |
IJHIS
2008
13 years 11 months ago
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
HIS
2007
14 years 19 days ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
IJCNN
2008
IEEE
14 years 5 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
ICANN
2007
Springer
14 years 3 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
TCBB
2011
13 years 6 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...