554 search results - page 17 / 111 » Variable selection using neural-network models |
BMCBI
2006
14 years 9 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Selectiveattentionis a mechanismsused to sequentiallyselectthe spatiallocationsof salientregionsin the sensor’sfieldof view. This mechanism overcomesthe problem of flooding limi...
NN
2010
Springer
14 years 8 months ago
2010
Springer
— This paper proposes a neural network model capable of completing partly occluded contours. The model is a hierarchical multi-layered network. Using the responses of bend-extrac...
IWANN
2005
Springer
15 years 3 months 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...
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FCCM
2009
IEEE
15 years 1 months ago
2009
IEEE
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...