226 search results - page 21 / 46 » A Monte-Carlo AIXI Approximation |
NIPS
2003
13 years 9 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
GLOBECOM
2008
IEEE
13 years 7 months ago
2008
IEEE
We study the impact of the distribution of node locations on key properties of wireless networks. In particular, using Monte Carlo simulations we study in detail the behavior of av...
CSDA
2010
13 years 7 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
CSDA
2007
13 years 7 months ago
2007
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
CVIU
2007
13 years 7 months ago
2007
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...