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    DKE
    2008
    109views more  DKE 2008»
    Deterministic algorithms for sampling count data
    13 years 9 months ago
    Deterministic algorithms for sampling count data
    Download  homes.ieu.edu.tr
    Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
    Hüseyin Akcan, Alex Astashyn, Hervé Br...
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    BMCBI
    2007
    106views more  BMCBI 2007»
    Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive as
    13 years 9 months ago
    Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive as
    Download  www.biomedcentral.com
    Background: A widely-used approach for discovering functional and physical interactions among proteins involves phylogenetic profile comparisons (PPCs). Here, proteins with simila...
    Raja Jothi, Teresa M. Przytycka, L. Aravind
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    CEE
    2007
    107views more  CEE 2007»
    A non-preemptive scheduling algorithm for soft real-time systems
    13 years 9 months ago
    A non-preemptive scheduling algorithm for soft real-time systems
    Download  www.cse.unt.edu
    Real-time systems are often designed using preemptive scheduling and worst-case execution time estimates to guarantee the execution of high priority tasks. There is, however, an i...
    Wenming Li, Krishna M. Kavi, Robert Akl
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    JSA
    2008
    136views more  JSA 2008»
    Evaluation and optimization of a peer-to-peer video-on-demand system
    13 years 9 months ago
    Evaluation and optimization of a peer-to-peer video-on-demand system
    Download  grid.hust.edu.cn
    Video-on-demand (VoD) is increasingly popular with internet users. However, VoD is costly due to the load placed on video servers. Peer-to-peer (P2P) techniques are an approach to...
    Bin Cheng, Xiuzheng Liu, Zheng Zhang, Hai Jin, Lex...
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    JMLR
    2006
    389views more  JMLR 2006»
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
    13 years 9 months ago
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
    Download  jmlr.csail.mit.edu
    This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
    Enrique Castillo, Bertha Guijarro-Berdiñas,...
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