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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 5 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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    ICML
    2010
    IEEE
    211views Machine Learning» more  ICML 2010»
    One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
    13 years 6 months ago
    One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
    Download  www.csie.ntu.edu.tw
    We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
    Han-Hsing Tu, Hsuan-Tien Lin
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    NIPS
    1996
    87views Information Technology» more  NIPS 1996»
    Support Vector Regression Machines
    13 years 6 months ago
    Support Vector Regression Machines
    Download  reference.kfupm.edu.sa
    Harris Drucker, Christopher J. C. Burges, Linda Ka...
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    JMLR
    2008
    81views more  JMLR 2008»
    Bouligand Derivatives and Robustness of Support Vector Machines for Regression
    13 years 5 months ago
    Bouligand Derivatives and Robustness of Support Vector Machines for Regression
    Download  homepages.vub.ac.be
    Andreas Christmann, Arnout Van Messem
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    MCS
    2002
    Springer
    146views Pattern Recognition» more  MCS 2002»
    Support Vector Machines, Kernel Logistic Regression and Boosting
    13 years 5 months ago
    Support Vector Machines, Kernel Logistic Regression and Boosting
    Download  www-stat.stanford.edu
    Ji Zhu, Trevor Hastie
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