243 search results - page 16 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
NIPS
1996
13 years 8 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
to appear in Proc. IEEE International Conference on Computer Vision (ICCV), 2005 Bayesian methods have been extensively used in various applications. However, there are two intrin...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...