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    » Convergence analysis of online algorithms
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    ICASSP
    2011
    IEEE
    270views Signal Processing» more  ICASSP 2011»
    Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
    12 years 11 months ago
    Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
    Download  mirlab.org
    We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
    Jacob Chakareski
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    NIPS
    2007
    127views Information Technology» more  NIPS 2007»
    On higher-order perceptron algorithms
    13 years 8 months ago
    On higher-order perceptron algorithms
    Download  books.nips.cc
    A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
    Claudio Gentile, Fabio Vitale, Cristian Brotto
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    CDC
    2010
    IEEE
    148views Control Systems» more  CDC 2010»
    Convergence rates of consensus algorithms in stochastic networks
    13 years 2 months ago
    Convergence rates of consensus algorithms in stochastic networks
    Download  www.cs.ucsb.edu
    Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
    Stacy Patterson, Bassam Bamieh
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    ICMCS
    2006
    IEEE
    115views Multimedia» more  ICMCS 2006»
    On Training Neural Network Algorithms for Odor Identification for Future Multimedia Communication Systems
    14 years 1 months ago
    On Training Neural Network Algorithms for Odor Identification for Future Multimedia Communication Systems
    Download  www.cecs.uci.edu
    Future multimedia communication system can be developed to identify, transmit and provide odors besides voice and image. In this paper, an improved odor identification method is i...
    Ki-Hyeon Kwon, Namyong Kim, Hyung-Gi Byun, Krishna...
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    SIAMMA
    2011
    97views more  SIAMMA 2011»
    Convergence Rates for Greedy Algorithms in Reduced Basis Methods
    12 years 10 months ago
    Convergence Rates for Greedy Algorithms in Reduced Basis Methods
    Download  www.igpm.rwth-aachen.de
    The reduced basis method was introduced for the accurate online evaluation of solutions to a parameter dependent family of elliptic partial differential equations. ly, it can be ...
    Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald...
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