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    IPPS
    1998
    IEEE
    86views Distributed And Parallel Com...» more  IPPS 1998»
    An Empirical Comparison of Runtime Systems for Conservative Parallel Simulation
    15 years 10 months ago
    An Empirical Comparison of Runtime Systems for Conservative Parallel Simulation
    Download  ipdps.cc.gatech.edu
    Chu-Cheow Lim, Yoke-Hean Low, Wentong Cai, Wen-Jin...
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    AISB
    1994
    Springer
    172views Artificial Intelligence» more  AISB 1994»
    An Empirical Comparison of Selection Methods in Evolutionary Algorithms
    15 years 10 months ago
    An Empirical Comparison of Selection Methods in Evolutionary Algorithms
    Download  www.psychology.stir.ac.uk
    Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
    Peter J. B. Hancock
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    CHI
    1993
    ACM
    90views Human Computer Interaction» more  CHI 1993»
    Text correction in pen-based computers: an empirical comparison of methods
    15 years 10 months ago
    Text correction in pen-based computers: an empirical comparison of methods
    Download  www.dfki.de
    Tedde van Gelderen, Anthony Jameson, Arne L. Duwae...
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    BCSHCI
    2004
    70views Human Computer Interaction» more  BCSHCI 2004»
    An Empirical Comparison of Transparency on One and Two Layer Displays
    15 years 7 months ago
    An Empirical Comparison of Transparency on One and Two Layer Displays
    Download  www.dgp.toronto.edu
    Wael Aboelsaadat, Ravin Balakrishnan
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    HIS
    2004
    169views Information Technology» more  HIS 2004»
    An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
    15 years 7 months ago
    An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
    Download  www.cis.uab.edu
    The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
    Chih-Chin Lai, Ming-Chi Tsai
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