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    SDM
    2007
    SIAM
    131views Data Mining» more  SDM 2007»
    Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
    13 years 7 months ago
    Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
    Download  www.cs.ucla.edu
    In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
    Yijian Bai, Haixun Wang, Carlo Zaniolo
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    INFOCOM
    2009
    IEEE
    145views Communications» more  INFOCOM 2009»
    On Fast Optimal STDMA Scheduling over Fading Wireless Channels
    14 years 20 days ago
    On Fast Optimal STDMA Scheduling over Fading Wireless Channels
    Download  www.ie.cuhk.edu.hk
    —Most prior studies on wireless spatial-reuse TDMA (STDMA) link scheduling for throughput optimization deal with the situation where instantaneous channel state information (CSI)...
    JiaLiang Zhang, Soung Chang Liew, Liqun Fu
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    INFOCOM
    2009
    IEEE
    191views Communications» more  INFOCOM 2009»
    CFP: Cooperative Fast Protection
    14 years 20 days ago
    CFP: Cooperative Fast Protection
    Download  www.eee.hku.hk
    —We introduce a novel protection scheme, called Cooperative Fast Protection (CFP), to fight against a single link failure in survivable WDM (Wavelength Division Multiplexing) mes...
    Bin Wu, Pin-Han Ho, Kwan L. Yeung, János Ta...
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    ACMICEC
    2004
    ACM
    171views ECommerce» more  ACMICEC 2004»
    Efficient integration of web services with distributed data flow and active mediation
    13 years 11 months ago
    Efficient integration of web services with distributed data flow and active mediation
    Download  eig.stanford.edu
    This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
    David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold
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    ESANN
    2008
    278views Neural Networks» more  ESANN 2008»
    Learning to play Tetris applying reinforcement learning methods
    13 years 7 months ago
    Learning to play Tetris applying reinforcement learning methods
    Download  www.dice.ucl.ac.be
    In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
    Alexander Groß, Jan Friedland, Friedhelm Sch...
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