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    IDEAL
    2005
    Springer
    124views Intelligent Agents» more  IDEAL 2005»
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    13 years 10 months ago
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    Download  poincare.matf.bg.ac.rs
    Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
    Ivana Bozic, Guanglan Zhang, Vladimir Brusic
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    JMLR
    2008
    110views more  JMLR 2008»
    Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
    13 years 4 months ago
    Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
    Download  jmlr.csail.mit.edu
    Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
    Bo Jiang, Xuegong Zhang, Tianxi Cai
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    BMCBI
    2007
    82views more  BMCBI 2007»
    Glycosylation site prediction using ensembles of Support Vector Machine classifiers
    13 years 4 months ago
    Glycosylation site prediction using ensembles of Support Vector Machine classifiers
    Download  www.cs.iastate.edu
    Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, ...
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    ICMLA
    2010
    164views Machine Learning» more  ICMLA 2010»
    Using Randomised Vectors in Transcription Factor Binding Site Predictions
    13 years 2 months ago
    Using Randomised Vectors in Transcription Factor Binding Site Predictions
    Download  homepages.feis.herts.ac.uk
    Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may ...
    Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alis...
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    PRICAI
    2004
    Springer
    131views Artificial Intelligence» more  PRICAI 2004»
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    13 years 10 months ago
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    Download  bi.snu.ac.kr
    Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
    Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
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