559 search results - page 64 / 112 » Neural methods for non-standard data |
146
click to vote
DAWAK
2009
Springer
15 years 11 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
140
click to vote
JUCS
2007
15 years 4 months ago
2007
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
166
click to vote
FLAIRS
2004
15 years 5 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
128
click to vote
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
156
click to vote
TNN
2010
14 years 10 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...