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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
    15 years 15 days 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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    101
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    IJCNN
    2000
    IEEE
    124views Neural Networks» more  IJCNN 2000»
    Support Vector Machine for Regression and Applications to Financial Forecasting
    15 years 4 months ago
    Support Vector Machine for Regression and Applications to Financial Forecasting
    Download  www.svms.org
    The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
    Theodore B. Trafalis, Huseyin Ince
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    JMLR
    2008
    81views more  JMLR 2008»
    Bouligand Derivatives and Robustness of Support Vector Machines for Regression
    15 years 11 days 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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    67
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    NIPS
    1996
    87views Information Technology» more  NIPS 1996»
    Support Vector Regression Machines
    15 years 1 months ago
    Support Vector Regression Machines
    Download  reference.kfupm.edu.sa
    Harris Drucker, Christopher J. C. Burges, Linda Ka...
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    121
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    MCS
    2002
    Springer
    146views Pattern Recognition» more  MCS 2002»
    Support Vector Machines, Kernel Logistic Regression and Boosting
    15 years 1 days ago
    Support Vector Machines, Kernel Logistic Regression and Boosting
    Download  www-stat.stanford.edu
    Ji Zhu, Trevor Hastie
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