186 search results - page 18 / 38 » Computational Properties of Probabilistic Neural Networks |
CMSB
2009
Springer
14 years 2 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
NIPS
2004
13 years 9 months ago
2004
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
ECAL
2003
Springer
14 years 24 days ago
2003
Springer
This paper demonstrates that the waves produced on the surface of water can be used as the medium for a “Liquid State Machine” that pre-processes inputs so allowing a simple pe...
NN
2006
Springer
13 years 7 months ago
2006
Springer
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
ICDCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Self-stabilization is a strong property which guarantees that a network always resume a correct behavior starting from an arbitrary initial state. Weaker guarantees have later bee...