152 search results - page 26 / 31 » Training neural networks with noisy data as an ill-posed pro... |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
DATAMINE
2006
13 years 7 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
IWANN
2005
Springer
14 years 27 days ago
2005
Springer
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...