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    JSS
    2008
    317views more  JSS 2008»
    Predicting defect-prone software modules using support vector machines
    13 years 4 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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    ISSRE
    2005
    IEEE
    156views Software Engineering» more  ISSRE 2005»
    A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
    13 years 10 months ago
    A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
    Download  www.cse.cuhk.edu.hk
    The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
    Fei Xing, Ping Guo, Michael R. Lyu
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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 4 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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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 4 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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    IJCNN
    2000
    IEEE
    213views Neural Networks» more  IJCNN 2000»
    Pose Classification Using Support Vector Machines
    13 years 8 months ago
    Pose Classification Using Support Vector Machines
    Download  www.csai.unipa.it
    The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
    Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
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