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    » A Pitfall in Determining the Optimal Feature Subset Size
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    JUCS
    2008
    130views more  JUCS 2008»
    Feature Selection for the Classification of Large Document Collections
    13 years 7 months ago
    Feature Selection for the Classification of Large Document Collections
    Download  www.jucs.org
    : Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
    Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
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    CVPR
    2006
    IEEE
    175views Computer Vision» more  CVPR 2006»
    Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space
    14 years 9 months ago
    Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space
    Download  mi.eng.cam.ac.uk
    Our goal is to automatically determine the cast of a feature-length film. This is challenging because the cast size is not known, with appearance changes of faces caused by extrin...
    Ognjen Arandjelovic, Roberto Cipolla
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    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 7 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    Download  www.biomedcentral.com
    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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    ASC
    2007
    153views Artificial Intelligence» more  ASC 2007»
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    13 years 7 months ago
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    Download  icsl.gatech.edu
    We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
    Abhinav Saxena, Ashraf Saad
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    TSE
    2011
    144views more  TSE 2011»
    Genetic Algorithms for Randomized Unit Testing
    13 years 2 months ago
    Genetic Algorithms for Randomized Unit Testing
    Download  menzies.us
    —Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
    James H. Andrews, Tim Menzies, Felix Chun Hang Li
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