160 search results - page 14 / 32 » Maximum a posteriori based regularization parameter selectio... |
ESANN
2003
13 years 10 months ago
2003
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
AAAI
2007
13 years 11 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
CVPR
2004
IEEE
14 years 13 days ago
2004
IEEE
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
CDC
2010
IEEE
13 years 3 months ago
2010
IEEE
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
IDA
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...