578 search results - page 22 / 116 » Neural networks for relational learning: an experimental com... |
NPL
2006
13 years 7 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...