414 search results - page 42 / 83 » Kernel Optimization in Discriminant Analysis |
NN
2008
Springer
13 years 7 months 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...
ICML
2009
IEEE
14 years 8 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 ...
CASES
2008
ACM
13 years 9 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...
GECCO
2008
Springer
13 years 8 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,...
TNN
2010
13 years 2 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...