678 search results - page 26 / 136 » Learning to Predict Performance from Formula Modeling and Tr... |
NAACL
2004
13 years 9 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
TCBB
2011
13 years 3 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...