83 search results - page 3 / 17 » Neural Network Learning: Testing Bounds on Sample Complexity |
ICDAR
2003
IEEE
13 years 11 months ago
2003
IEEE
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
A product unit is a formal neuron that multiplies its input values instead of summingthem. Furthermore, it has weights acting as exponents instead of being factors. We investigate...
NIPS
1996
13 years 7 months ago
1996
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...