532 search results - page 55 / 107 » Estimation of Time-Varying Parameters in Statistical Models:... |
SIGECOM
2006
ACM
14 years 1 months ago
2006
ACM
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
UAI
2004
13 years 9 months ago
2004
Recent research has made significant progress on the problem of bounding log partition functions for exponential family graphical models. Such bounds have associated dual paramete...
IPMI
2009
Springer
14 years 8 months ago
2009
Springer
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...