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    SRDS
    1997
    IEEE
    90views Operating System» more  SRDS 1997»
    Fault Detection Using Hints from the Socket Layer
    13 years 11 months ago
    Fault Detection Using Hints from the Socket Layer
    Download  homepages.di.fc.ul.pt
    This paper describes a fault detection mechanism that uses the error codes returned by the stream sockets to locate process failures. Since these errors are generated automaticall...
    Nuno Neves, W. Kent Fuchs
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    AIA
    2007
    236views Artificial Intelligence» more  AIA 2007»
    A stability index for feature selection
    13 years 9 months ago
    A stability index for feature selection
    Download  www.cs.manchester.ac.uk
    Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the ...
    Ludmila I. Kuncheva
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    SIGSOFT
    2008
    ACM
    136views Software Engineering» more  SIGSOFT 2008»
    Effective blame for information-flow violations
    14 years 8 months ago
    Effective blame for information-flow violations
    Download  www.cse.psu.edu
    Programs trusted with secure information should not release that information in ways contrary to system policy. However, when a program contains an illegal flow of information, cu...
    Dave King 0002, Trent Jaeger, Somesh Jha, Sanjit A...
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    ACL
    2009
    175views Computational Linguistics» more  ACL 2009»
    Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
    13 years 5 months ago
    Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
    Download  nlp.cs.qc.cuny.edu
    Cross-lingual tasks are especially difficult due to the compounding effect of errors in language processing and errors in machine translation (MT). In this paper, we present an er...
    Kristen Parton, Kathleen McKeown, Bob Coyne, Mona ...
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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    13 years 7 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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