693 search results - page 128 / 139 » Estimation in covariate-adjusted regression |
JCNS
2010
14 years 8 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
TCS
2010
14 years 8 months ago
2010
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
ICRA
2010
IEEE
14 years 7 months ago
2010
IEEE
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
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ISPD
2012
ACM
13 years 5 months ago
2012
ACM
There are two prominent problems with technology scaling: increasing design complexity and more challenges with interconnect design, including routability. High-level synthesis ha...
GCB
2009
Springer
15 years 1 months ago
2009
Springer
Abstract: It is often challenging to reconstruct accurately a complete dynamic biological network due to the scarcity of data collected in cost-effective experiments. This paper ad...