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» Support vector machine for functional data classification
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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 3 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
ISMB
2008
15 years 4 months ago
Classification of arrayCGH data using fused SVM
Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
94
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BMCBI
2007
77views more  BMCBI 2007»
15 years 2 months ago
Effective selection of informative SNPs and classification on the HapMap genotype data
Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
Nina Zhou, Lipo Wang
IACR
2011
122views more  IACR 2011»
14 years 2 months ago
On Authenticated Encryption Using Stream Ciphers Supporting an Initialisation Vector
We describe a systematic framework for using a stream cipher supporting an initialisation vector (IV) to perform various tasks of authentication and authenticated encryption. These...
Palash Sarkar
WSCG
2004
188views more  WSCG 2004»
15 years 3 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...