3716 search results - page 46 / 744 » On the monotonization of the training set |
SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
90
Voted
IJHIS
2008
15 years 17 days 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...
121
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
100
Voted
NIPS
2008
15 years 2 months ago
2008
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
120
Voted
ACL
2009
14 years 10 months ago
2009
The lack of Chinese sentiment corpora limits the research progress on Chinese sentiment classification. However, there are many freely available English sentiment corpora on the W...