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CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
14 years 12 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
TNN
2008
105views more  TNN 2008»
14 years 9 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
ICPR
2004
IEEE
15 years 11 months ago
Optimally Regularised Kernel Fisher Discriminant Analysis
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
Gavin C. Cawley, Kamel Saadi, Nicola L. C. Talbot
ISNN
2007
Springer
15 years 4 months ago
Discriminant Analysis with Label Constrained Graph Partition
In this paper, a space partition method called “Label Constrained Graph Partition” (LCGP) is presented to solve the Sample-InterweavingPhenomenon in the original space. We firs...
Peng Guan, Yaoliang Yu, Liming Zhang
BMCBI
2008
110views more  BMCBI 2008»
14 years 10 months ago
Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands
Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role...
Wei Dai, Jens M. Teodoridis, Janet Graham, Constan...