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    TSP
    2010
    175views Artificial Intelligence» more  TSP 2010»
    Optimization and analysis of distributed averaging with short node memory
    13 years 1 months ago
    Optimization and analysis of distributed averaging with short node memory
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    Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
    Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
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    GECCO
    2007
    Springer
    256views Optimization» more  GECCO 2007»
    A particle swarm optimization approach for estimating parameter confidence regions
    14 years 1 months ago
    A particle swarm optimization approach for estimating parameter confidence regions
    Download  www.cs.bham.ac.uk
    Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
    Praveen Koduru, Stephen Welch, Sanjoy Das
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