352 search results - page 20 / 71 » Transformations of Gaussian Process Priors |
111
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
151
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
118
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
138
Voted
NAACL
1994
15 years 5 months ago
1994
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
162
Voted
ISNN
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....