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    BMCBI
    2008
    126views more  BMCBI 2008»
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
    13 years 5 months ago
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
    Download  www.biomedcentral.com
    Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
    Katerina Kechris, Hao Li
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    ENTCS
    2008
    99views more  ENTCS 2008»
    ArcAngelC: a Refinement Tactic Language for Circus
    13 years 5 months ago
    ArcAngelC: a Refinement Tactic Language for Circus
    Download  www.cs.york.ac.uk
    Circus is a refinement language, in which specifications define both data and behavioural aspects of concurrent systems using a combination of Z and CSP. Its refinement theory and...
    M. V. M. Oliveira, A. L. C. Cavalcanti
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    SIGSOFT
    2008
    ACM
    138views Software Engineering» more  SIGSOFT 2008»
    Inter-context control-flow and data-flow test adequacy criteria for nesC applications
    14 years 6 months ago
    Inter-context control-flow and data-flow test adequacy criteria for nesC applications
    Download  www.cs.cityu.edu.hk
    NesC is a programming language for applications that run on top of networked sensor nodes. Such an application mainly uses an interrupt to trigger a sequence of operations, known ...
    Zhifeng Lai, Shing-Chi Cheung, Wing Kwong Chan
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    FC
    2010
    Springer
    171views Cryptology» more  FC 2010»
    The Phish-Market Protocol: Securely Sharing Attack Data between Competitors
    13 years 9 months ago
    The Phish-Market Protocol: Securely Sharing Attack Data between Competitors
    Download  www.sigsac.org
    A key way in which banks mitigate the effects of phishing is to remove fraudulent websites or suspend abusive domain names. This ‘take-down’ is often subcontracted to special...
    Tal Moran, Tyler Moore
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    ML
    2000
    ACM
    144views Machine Learning» more  ML 2000»
    MultiBoosting: A Technique for Combining Boosting and Wagging
    13 years 5 months ago
    MultiBoosting: A Technique for Combining Boosting and Wagging
    Download  www.csse.monash.edu
    MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
    Geoffrey I. Webb
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