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    IPL
    2006
    111views more  IPL 2006»
    A new algorithm for online uniform-machine scheduling to minimize the makespan
    14 years 9 months ago
    A new algorithm for online uniform-machine scheduling to minimize the makespan
    Download  repository.lib.polyu.edu.hk
    We consider the online scheduling problem with m - 1, m 2, uniform machines each with a processing speed of 1, and one machine with a speed of s, 1 s 2, to minimize the makespa...
    T. C. Edwin Cheng, C. T. Ng, Vladimir Kotov
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    FOCM
    2006
    50views more  FOCM 2006»
    Online Learning Algorithms
    14 years 9 months ago
    Online Learning Algorithms
    Download  ttic.uchicago.edu
    In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
    Steve Smale, Yuan Yao
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    ALENEX
    2008
    133views Algorithms» more  ALENEX 2008»
    Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
    14 years 11 months ago
    Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
    Download  www.nd.edu
    The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
    Shawn O'Neil, Amitabh Chaudhary
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    JCO
    2006
    83views more  JCO 2006»
    Separating online scheduling algorithms with the relative worst order ratio
    14 years 9 months ago
    Separating online scheduling algorithms with the relative worst order ratio
    Download  math.haifa.ac.il
    The relative worst order ratio is a measure for the quality of online algorithms. Unlike the competitive ratio, it compares algorithms directly without involving an optimal offline...
    Leah Epstein, Lene M. Favrholdt, Jens S. Kohrt
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    PAKDD
    2005
    ACM
    161views Data Mining» more  PAKDD 2005»
    Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
    15 years 3 months ago
    Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
    Download  www.cs.hku.hk
    We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
    K. K. Loo, Ivy Tong, Ben Kao
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