24 search results - page 2 / 5 » On MCMC Sampling in Bayesian MLP Neural Networks |
JMLR
2010
13 years 2 days ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
NECO
2002
13 years 4 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
IAJIT
2008
13 years 5 months ago
2008
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
EVOW
2008
Springer
13 years 7 months ago
2008
Springer
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
NIPS
2008
13 years 6 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...