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    JCST
    2008
    138views more  JCST 2008»
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    13 years 8 months ago
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
    Xu Sun, Houfeng Wang, Bo Wang 0003
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    AISS
    2010
    147views more  AISS 2010»
    Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
    13 years 6 months ago
    Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
    Download  www.aicit.org
    Recently, due to problems arising from lattice mismatch in thin film growth in semiconductor manufacturing industry, researchers have shown great interest in modeling the physioch...
    Abdul Majid, Yeon Soo Lee
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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 8 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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    IJCNN
    2008
    IEEE
    168views Neural Networks» more  IJCNN 2008»
    Financial time series prediction using a support vector regression network
    14 years 3 months ago
    Financial time series prediction using a support vector regression network
    Download  www.hflab.ips.waseda.ac.jp
    Abstract— This paper presents a novel support vector regression (SVR) network for financial time series prediction. The SVR network consists of two layers of SVR: transformation...
    Boyang Li, Jinglu Hu, Kotaro Hirasawa
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    ESANN
    2007
    135views Neural Networks» more  ESANN 2007»
    Bat echolocation modelling using spike kernels with Support Vector Regression
    13 years 10 months ago
    Bat echolocation modelling using spike kernels with Support Vector Regression
    Download  www.dice.ucl.ac.be
    Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
    Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
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