186 search results - page 37 / 38 » Computational Properties of Probabilistic Neural Networks |
NECO
2007
13 years 5 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
CONNECTION
2006
13 years 6 months ago
2006
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
GECCO
2007
Springer
14 years 7 days ago
2007
Springer
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
ADHOCNOW
2004
Springer
13 years 11 months ago
2004
Springer
Consider k particles, 1 red and k −1 white, chasing each other on the nodes of a graph G. If the red one catches one of the white, it “infects” it with its color. The newly ...
ICPR
2000
IEEE
14 years 7 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...