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    BMCBI
    2008
    123views more  BMCBI 2008»
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    13 years 8 months ago
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    Download  www.biomedcentral.com
    Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
    Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
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    LISA
    2004
    112views Operating System» more  LISA 2004»
    Real-time Log File Analysis Using the Simple Event Correlator (SEC)
    13 years 9 months ago
    Real-time Log File Analysis Using the Simple Event Correlator (SEC)
    Download  www.cs.umb.edu
    Originally published at Usenix LISA 2004 conference. November 2004 Atlanta, Georiga, USA. Log analysis is an important way to keep track of computers and networks. The use of auto...
    John P. Rouillard
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    IPCCC
    2005
    IEEE
    106views Communications» more  IPCCC 2005»
    Key management in wireless ad hoc networks: collusion analysis and prevention
    14 years 1 months ago
    Key management in wireless ad hoc networks: collusion analysis and prevention
    Download  www.csee.umbc.edu
    Due to the dynamic nature of WAHN communications and the multi-node involvement in most WAHN applications, group key management has been proposed for efficient support of secure c...
    Mohamed F. Younis, Kajaldeep Ghumman, Mohamed Elto...
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    IJCAI
    1993
    176views Artificial Intelligence» more  IJCAI 1993»
    An Approach to Analyzing the Need for Meta-Level Communication
    13 years 9 months ago
    An Approach to Analyzing the Need for Meta-Level Communication
    Download  dli.iiit.ac.in
    This paper presents an analysis of static and dynamic organizational structures for naturally distributed, homogeneous, cooperative problem solving environments, exemplified by di...
    Keith Decker, Victor R. Lesser
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    BIOINFORMATICS
    2007
    83views more  BIOINFORMATICS 2007»
    Exploring biological network structure using exponential random graph models
    13 years 8 months ago
    Exploring biological network structure using exponential random graph models
    Download  www.cs.ucdavis.edu
    Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
    Zachary M. Saul, Vladimir Filkov
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