78 search results - page 10 / 16 » Bayes Optimality in Linear Discriminant Analysis |
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
PR
2007
13 years 7 months ago
2007
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...