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    JSS
    2008
    317views more  JSS 2008»
    Predicting defect-prone software modules using support vector machines
    13 years 7 months ago
    Predicting defect-prone software modules using support vector machines
    Download  isi.kfupm.edu.sa
    Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
    Karim O. Elish, Mahmoud O. Elish
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    AUTOMATICA
    2006
    150views more  AUTOMATICA 2006»
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    13 years 7 months ago
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    Download  guppy.mpe.nus.edu.sg
    In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
    Chong Jin Ong, Dan Sui, Elmer G. Gilbert
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    14 years 7 months ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 7 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    ISBRA
    2011
    Springer
    330views Bioinformatics» more  ISBRA 2011»
    Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
    12 years 10 months ago
    Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
    Download  pfind.ict.ac.cn
    Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
    Yan Fu, Rong Pan, Qiang Yang, Wen Gao
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