1648 search results - page 143 / 330 » Training Data Selection for Support Vector Machines |
CIKM
2011
Springer
12 years 9 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
NIPS
2000
13 years 10 months ago
2000
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
IPCV
2008
13 years 10 months ago
2008
- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...