2476 search results - page 5 / 496 » Model Selection and Error Estimation |
IWANN
2001
Springer
13 years 12 months ago
2001
Springer
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
NIPS
2004
13 years 9 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, the task of selecting the optimal subset of pronunciation variants from a set of automatically generated candidates is recast as a tree search problem. In this appr...
BMCBI
2008
13 years 7 months ago
2008
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
ESANN
2001
13 years 9 months ago
2001
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...