1137 search results - page 146 / 228 » Parametric Process Model Inference |
ICDE
2009
IEEE
13 years 6 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
MICCAI
2010
Springer
13 years 7 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
ER
2007
Springer
14 years 24 days ago
2007
Springer
The paper presents an unified Description Logic (DL) model for databases. Describing database models using DLs is a fundamental problem in many areas because it turns databases to...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
NIPS
2003
13 years 10 months ago
2003
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...