266 search results - page 16 / 54 » Is Combining Classifiers Better than Selecting the Best One |
CDC
2009
IEEE
13 years 10 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...
BMCBI
2007
13 years 9 months ago
2007
Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
BMCBI
2011
13 years 4 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
FLAIRS
2008
13 years 11 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
GECCO
2006
Springer
14 years 19 days ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...