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    BMCBI
    2008
    138views more  BMCBI 2008»
    Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote ho
    15 years 17 days ago
    Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote ho
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    Background: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This uniqu...
    Inkyung Jung, Jaehyung Lee, Soo-Young Lee, Dongsup...
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    COLT
    2005
    Springer
    115views Machine Learning» more  COLT 2005»
    Approximating a Gram Matrix for Improved Kernel-Based Learning
    15 years 6 months ago
    Approximating a Gram Matrix for Improved Kernel-Based Learning
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    Petros Drineas, Michael W. Mahoney
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    SC
    1990
    ACM
    119views Applied Computing» more  SC 1990»
    Techniques for improving the performance of sparse matrix factorization on multiprocessor workstations
    15 years 4 months ago
    Techniques for improving the performance of sparse matrix factorization on multiprocessor workstations
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    Edward Rothberg, Anoop Gupta
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    JCB
    2007
    62views more  JCB 2007»
    Improved Covariance Matrix Estimators for Weighted Analysis of Microarray Data
    15 years 11 days ago
    Improved Covariance Matrix Estimators for Weighted Analysis of Microarray Data
    Download  www.math.chalmers.se
    Magnus Åstrand, Petter Mostad, Mats Rudemo
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    104
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    WSC
    2007
    165views Modeling And Simulation» more  WSC 2007»
    Optimistic parallel discrete event simulation of the event-based transmission line matrix method
    15 years 2 months ago
    Optimistic parallel discrete event simulation of the event-based transmission line matrix method
    Download  www.thesimguy.com
    In this paper we describe a technique for efficient parallelization of digital wave guide network (DWN) models based on an interpretation of the finite difference time domain (F...
    David W. Bauer, Ernest H. Page
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