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» Feature Selection for Complex Patterns
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BMCBI
2004
205views more  BMCBI 2004»
13 years 10 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ICAPR
2009
Springer
14 years 5 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt
ARTMED
2007
347views more  ARTMED 2007»
13 years 11 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
TRUSTBUS
2010
Springer
13 years 9 months ago
Context-Aware Privacy Design Pattern Selection
:  Context-Aware Privacy Design Pattern Selection Siani Pearson, Yun Shen HP Laboratories HPL-2010-74 Privacy, Design Patterns, Context Awareness User-related contextual factors...
Siani Pearson, Yun Shen
ICCV
2011
IEEE
12 years 11 months ago
Local Intensity Order Pattern for Feature Description
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
Zhenhua Wang, Bin Fan, Fuchao Wu