24 search results - page 1 / 5 » On MCMC Sampling in Bayesian MLP Neural Networks |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
CORR
2012
Springer
12 years 16 days ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
PRL
2000
13 years 4 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
ICSNC
2007
IEEE
13 years 11 months ago
2007
IEEE
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
ICIC
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...