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    ML
    2008
    ACM
    99views Machine Learning» more  ML 2008»
    A bias/variance decomposition for models using collective inference
    13 years 7 months ago
    A bias/variance decomposition for models using collective inference
    Download  www.cs.purdue.edu
    Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
    Jennifer Neville, David Jensen
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    PR
    2006
    116views more  PR 2006»
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    13 years 7 months ago
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    Download  www.disi.unige.it
    Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
    Stefano Rovetta, Francesco Masulli
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    IIE
    2007
    159views more  IIE 2007»
    Creating and Visualizing Test Data from Programming Exercises
    13 years 7 months ago
    Creating and Visualizing Test Data from Programming Exercises
    Download  www.mii.lt
    Automatic assessment of programming exercises is typically based on testing approach. Most automatic assessment frameworks execute tests and evaluate test results automatically, bu...
    Petri Ihantola
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    IJCSS
    2007
    133views more  IJCSS 2007»
    Synthesis of Read-Once Digital Hardware with Reduced Energy Delay Product
    13 years 7 months ago
    Synthesis of Read-Once Digital Hardware with Reduced Energy Delay Product
    Download  www.fullcycles.org
    This paper presents a low power driven synthesis framework for the unique class of nonregenerative Boolean Read-Once Functions (BROF). A two-pronged approach is adopted, where the...
    P. Balasubramanian, S. Theja
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    SIGKDD
    2008
    138views more  SIGKDD 2008»
    Learning preferences of new users in recommender systems: an information theoretic approach
    13 years 7 months ago
    Learning preferences of new users in recommender systems: an information theoretic approach
    Download  glaros.dtc.umn.edu
    Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
    Al Mamunur Rashid, George Karypis, John Riedl
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