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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 9 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
    2005
    251views more  BMCBI 2005»
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    13 years 9 months ago
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
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    Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
    Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
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    PAMI
    2010
    192views more  PAMI 2010»
    Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
    13 years 7 months ago
    Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
    Download  www.esat.kuleuven.be
    —A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
    Carlos Alzate, Johan A. K. Suykens
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    SADM
    2010
    128views more  SADM 2010»
    Online training on a budget of support vector machines using twin prototypes
    13 years 7 months ago
    Online training on a budget of support vector machines using twin prototypes
    Download  astro.temple.edu
    : This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
    Zhuang Wang, Slobodan Vucetic
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    BMCBI
    2005
    107views more  BMCBI 2005»
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    13 years 9 months ago
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    Download  www.biomedcentral.com
    Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
    Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...
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