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    NAR
    2007
    62views more  NAR 2007»
    RADAR: a web server for RNA data analysis and research
    15 years 4 months ago
    RADAR: a web server for RNA data analysis and research
    Download  aria.njit.edu
    Mugdha Khaladkar, Vivian Bellofatto, Jason Tsong-L...
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    NN
    2007
    Springer
    80views Neural Networks» more  NN 2007»
    A learning algorithm for adaptive canonical correlation analysis of several data sets
    15 years 4 months ago
    A learning algorithm for adaptive canonical correlation analysis of several data sets
    Download  www.gtas.dicom.unican.es
    Javier Vía, Ignacio Santamaría, Jes&...
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    PAA
    2007
    104views Distributed And Parallel Com...» more  PAA 2007»
    An analysis of how training data complexity affects the nearest neighbor classifiers
    15 years 4 months ago
    An analysis of how training data complexity affects the nearest neighbor classifiers
    Download  marmota.dlsi.uji.es
    José Salvador Sánchez, Ramón ...
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    ICMS
    2010
    84views Software Engineering» more  ICMS 2010»
    TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
    15 years 3 months ago
    TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
    Download  www.zib.de
    This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
    Jan Reininghaus, David Günther, Ingrid Hotz, ...
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    MICCAI
    2010
    Springer
    180views Medical Imaging» more  MICCAI 2010»
    Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
    15 years 3 months ago
    Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
    Download  parietal.saclay.inria.fr
    The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
    Vincent Michel, Evelyn Eger, Christine Keribin, Be...
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