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    » Predicting Time Series with Support Vector Machines
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    ICCS
    2007
    Springer
    152views Applied Computing» more  ICCS 2007»
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    15 years 4 months ago
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    Download  meta-synthesis.iss.ac.cn
    Abstract. We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web do...
    Wen Zhang, Xijin Tang, Taketoshi Yoshida
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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 2 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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    AIME
    2007
    Springer
    128views Artificial Intelligence» more  AIME 2007»
    A Human-Machine Cooperative Approach for Time Series Data Interpretation
    15 years 4 months ago
    A Human-Machine Cooperative Approach for Time Series Data Interpretation
    Download  magma.imag.fr
    Abstract. This paper deals with the interpretation of biomedical multivariate time series for extracting typical scenarios. This task is known to be difficult, due to the temporal ...
    Thomas Guyet, Catherine Garbay, Michel Dojat
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    CDC
    2009
    IEEE
    180views Control Systems» more  CDC 2009»
    Robustness analysis for Least Squares kernel based regression: an optimization approach
    15 years 1 months ago
    Robustness analysis for Least Squares kernel based regression: an optimization approach
    Download  ftp.esat.kuleuven.be
    —In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
    Tillmann Falck, Johan A. K. Suykens, Bart De Moor
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    14 years 10 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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