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    SCAI
    2008
    235views Artificial Intelligence» more  SCAI 2008»
    Defect Prediction in Hot Strip Rolling Using ANN and SVM
    13 years 7 months ago
    Defect Prediction in Hot Strip Rolling Using ANN and SVM
    Download  www.ee.oulu.fi
    One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
    Manu Hietaniemi, Ulla Elsilä, Perttu Laurinen...
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    JSS
    2008
    317views more  JSS 2008»
    Predicting defect-prone software modules using support vector machines
    13 years 6 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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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    12 years 9 months ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    Download  www.biomedcentral.com
    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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    ESWA
    2010
    132views more  ESWA 2010»
    Prediction of small non-coding RNA in bacterial genomes using support vector machines
    13 years 27 days ago
    Prediction of small non-coding RNA in bacterial genomes using support vector machines
    Download  ir.lib.nctu.edu.tw
    Tzu-Hao Chang, Li-Ching Wu, Jun-Hong Lin, Hsien-Da...
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    EVOW
    2006
    Springer
    136views Artificial Intelligence» more  EVOW 2006»
    Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
    13 years 9 months ago
    Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
    Download  bi.snu.ac.kr
    Infection by the human papillomavirus (HPV) is associated with the development of cervical cancer. HPV can be classified to highand low-risk type according to its malignant potenti...
    Sun Kim, Byoung-Tak Zhang
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