45 search results - page 3 / 9 » Composite hypothesis testing by optimally distinguishable di... |
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
BMCBI
2010
13 years 4 months ago
2010
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
TSP
2010
12 years 11 months ago
2010
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...