116 search results - page 6 / 24 » Monte Carlo Hierarchical Model Learning |
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...
ICCAD
1996
IEEE
13 years 11 months ago
1996
IEEE
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
NIPS
1998
13 years 9 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
CSDA
2008
13 years 7 months ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...