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    ICDM
    2006
    IEEE
    193views Data Mining» more  ICDM 2006»
    Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
    15 years 9 months ago
    Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
    Download  infolab.usc.edu
    Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
    Hyunjin Yoon, Cyrus Shahabi
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    131
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    CANDC
    2002
    ACM
    147views Emerging Technology» more  CANDC 2002»
    Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
    15 years 3 months ago
    Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
    Download  www.svms.org
    We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
    Robert Burbidge, Matthew W. B. Trotter, Bernard F....
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    144
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    16 years 4 months ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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    126
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    ISBI
    2008
    IEEE
    159views Medical Imaging» more  ISBI 2008»
    Support vector machine for data on manifolds: An application to image analysis
    16 years 4 months ago
    Support vector machine for data on manifolds: An application to image analysis
    Download  midag.cs.unc.edu
    The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
    Suman K. Sen, Mark Foskey, James Stephen Marron, M...
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    127
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    BIOINFORMATICS
    2006
    105views more  BIOINFORMATICS 2006»
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    15 years 3 months ago
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    Download  noble.gs.washington.edu
    Darrin P. Lewis, Tony Jebara, William Stafford Nob...
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