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    RIDE
    1998
    IEEE
    106views Document Analysis» more  RIDE 1998»
    On Periodic Resource Scheduling for Continuous Media Databases
    13 years 12 months ago
    On Periodic Resource Scheduling for Continuous Media Databases
    Download  www.softnet.tuc.gr
    The Enhanced Pay-Per-View (EPPV) model for providing continuous-media services associates with each continuous-media clip a display frequency that depends on the clip's popula...
    Minos N. Garofalakis, Banu Özden, Abraham Sil...
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    BMCBI
    2008
    93views more  BMCBI 2008»
    Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
    13 years 7 months ago
    Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
    Download  www.biomedcentral.com
    Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
    Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
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    BMCBI
    2006
    165views more  BMCBI 2006»
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
    13 years 7 months ago
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
    Download  www.biomedcentral.com
    Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
    Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
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    COR
    2007
    163views more  COR 2007»
    A general heuristic for vehicle routing problems
    13 years 7 months ago
    A general heuristic for vehicle routing problems
    Download  www.diku.dk
    We present a unified heuristic, which is able to solve five different variants of the vehicle routing problem: the vehicle routing problem with time windows (VRPTW), the capacit...
    David Pisinger, Stefan Ropke
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    JMLR
    2006
    140views more  JMLR 2006»
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    13 years 7 months ago
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    Download  jmlr.csail.mit.edu
    The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
    Masashi Sugiyama
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