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BMCBI
2010
178views more  BMCBI 2010»
15 years 17 days ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
112
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TNN
1998
114views more  TNN 1998»
15 years 3 days ago
Bayesian retrieval in associative memories with storage errors
Abstract—It is well known that for finite-sized networks, onestep retrieval in the autoassociative Willshaw net is a suboptimal way to extract the information stored in the syna...
Friedrich T. Sommer, Peter Dayan
ICPR
2000
IEEE
16 years 1 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
102
Voted
ICC
2008
IEEE
127views Communications» more  ICC 2008»
15 years 7 months ago
Pre-Equalization and Precoding Design for Frequency-Selective Fading Channels
— In this paper, we consider the joint transmitter and receiver design problem based on a novel approximate maximum likelihood decision feedback equalizer (A-ML-DFE) over frequen...
Lingyang Song, Are Hjørungnes, Manav R. Bha...
ICANN
2010
Springer
15 years 1 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel