179 search results - page 1 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
IEAAIE
2001
Springer
13 years 9 months ago
2001
Springer
APIN
2004
13 years 4 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
KES
2004
Springer
13 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...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...