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ICASSP
2011
IEEE
13 years 24 days ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
BMCBI
2006
142views more  BMCBI 2006»
13 years 9 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
IMSCCS
2006
IEEE
14 years 3 months ago
Parallel Multicategory Support Vector Machines (PMC-SVM) for Classifying Microcarray Data
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
14 years 2 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 9 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...