414 search results - page 42 / 83 » Kernel Optimization in Discriminant Analysis |
109
Voted
NN
2008
Springer
15 years 14 days ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
93
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
133
Voted
CASES
2008
ACM
15 years 2 months ago
2008
ACM
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
116
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
148
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TNN
2010
14 years 7 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...