83 search results - page 4 / 17 » Neural Network Learning: Testing Bounds on Sample Complexity |
TSMC
2002
13 years 7 months ago
2002
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
BMCBI
2006
13 years 7 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
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
JMLR
2010
13 years 2 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
IJON
2007
13 years 7 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...