326 search results - page 24 / 66 » Bootstrap for neural model selection |
TNN
1998
13 years 9 months ago
1998
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
ICANN
2007
Springer
14 years 4 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
NN
2010
Springer
13 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...
FBIT
2007
IEEE
14 years 4 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
IWANN
2001
Springer
14 years 2 months ago
2001
Springer
In this paper two methods for the detection and recognition of landmarks to be used in topological modeling for autonomous mobile robots are presented. The first method is based o...