55 search results - page 4 / 11 » Linear Regression With Gaussian Model Uncertainty: Algorithm... |
KES
2004
Springer
14 years 22 days ago
2004
Springer
There is now a huge amount of high quality photometric data available in the literature whose analysis is bound to play a fundamental role in studies of the formation and evolution...
JMLR
2008
13 years 7 months ago
2008
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
BMCBI
2007
13 years 7 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
COMPLIFE
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...