1403 search results - page 107 / 281 » Sampling Techniques for Kernel Methods |
CVPR
2008
IEEE
16 years 2 hour ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
In an 2D echocardiogram exam, an ultrasound probe
samples the heart with 2D slices. Changing the orientation
and position on the probe changes the slice viewpoint, altering
the ...
HICSS
2010
IEEE
15 years 2 months ago
2010
IEEE
As data centers and end users become increasingly reliant on virtualization technology, more efficient and accurate methods of profiling such systems are needed. However, under vir...
SADM
2010
14 years 8 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...