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154
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ICASSP
2009
IEEE
15 years 10 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
EUROPAR
2009
Springer
15 years 10 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
121
Voted
ICASSP
2007
IEEE
15 years 10 months ago
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
Martin J. McKeown, Junning Li, Xuemei Huang, Z. Ja...
127
Voted
IMC
2005
ACM
15 years 9 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang