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    ML
    2010
    ACM
    181views Machine Learning» more  ML 2010»
    Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
    13 years 8 months ago
    Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
    Download  eprints.pascal-network.org
    Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
    David R. Hardoon, John Shawe-Taylor
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    DMS
    2010
    189views Multimedia» more  DMS 2010»
    Visualizing the Commonalities Between Hierarchically Structured Data Queries
    13 years 7 months ago
    Visualizing the Commonalities Between Hierarchically Structured Data Queries
    Download  vis.cs.ucdavis.edu
    Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
    Chad Jones, Ryan Armstrong, Kwan-Liu Ma
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    CROSSROADS
    2000
    53views more  CROSSROADS 2000»
    An Error-Controlled Octree Data Structure for Large-Scale Visualization
    13 years 9 months ago
    An Error-Controlled Octree Data Structure for Large-Scale Visualization
    Download  imaging.eng.uci.edu
    Dmitriy V. Pinskiy, Jörg Meyer, Bernd Hamann,...
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    IJCSS
    2000
    76views more  IJCSS 2000»
    The prediction of financial distress using structured financial data from the internet
    13 years 9 months ago
    The prediction of financial distress using structured financial data from the internet
    Download  www.fullcycles.org
    This paper uses
    Feng Yu Lin, Sally I. McClean
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    JCSS
    2000
    51views more  JCSS 2000»
    Data Independence of Read, Write, and Control Structures in PRAM Computations
    13 years 9 months ago
    Data Independence of Read, Write, and Control Structures in PRAM Computations
    Download  theinf1.informatik.uni-jena.de
    Klaus-Jörn Lange, Rolf Niedermeier
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