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    » Prediction of Contact Maps Using Support Vector Machines
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    JCP
    2008
    166views more  JCP 2008»
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    13 years 8 months ago
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
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    Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
    Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
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    PPOPP
    2009
    ACM
    184views Distributed and Parallel Com...» more  PPOPP 2009»
    Mapping parallelism to multi-cores: a machine learning based approach
    14 years 9 months ago
    Mapping parallelism to multi-cores: a machine learning based approach
    Download  homepages.inf.ed.ac.uk
    The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
    Zheng Wang, Michael F. P. O'Boyle
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    ICDM
    2005
    IEEE
    135views Data Mining» more  ICDM 2005»
    Bit Reduction Support Vector Machine
    14 years 2 months ago
    Bit Reduction Support Vector Machine
    Download  www.csee.usf.edu
    Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
    Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, And...
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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
    13 years 8 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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    BMCBI
    2006
    105views more  BMCBI 2006»
    CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
    13 years 8 months ago
    CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
    Download  www.biomedcentral.com
    Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
    Akira R. Kinjo, Ken Nishikawa
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