1137 search results - page 146 / 228 » Parametric Process Model Inference |
145
Voted
ICDE
2009
IEEE
14 years 12 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. ...
115
Voted
MICCAI
2010
Springer
15 years 18 days 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 ...
119
Voted
ER
2007
Springer
15 years 6 months 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...
120
Voted
CDC
2008
IEEE
15 years 4 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...
135
Voted
NIPS
2003
15 years 3 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...