97 search results - page 1 / 20 » Linear Discriminant Text Classification in High Dimension |
HIS
2001
13 years 9 months ago
2001
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
PR
2008
13 years 7 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
BMCBI
2008
13 years 7 months ago
2008
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
IEEEMM
2007
13 years 7 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...