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    JMLR
    2010
    101views more  JMLR 2010»
    A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
    14 years 6 months ago
    A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
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    Péter Torma, András György, Csa...
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    JSCIC
    2010
    104views more  JSCIC 2010»
    The Kemeny Constant for Finite Homogeneous Ergodic Markov Chains
    14 years 6 months ago
    The Kemeny Constant for Finite Homogeneous Ergodic Markov Chains
    Download  eprints.nuim.ie
    A quantity known as the Kemeny constant, which is used to measure the expected number of links that a surfer on the World Wide Web, located on a random web page, needs to follow b...
    M. Catral, Stephen J. Kirkland, M. Neumann, N.-S. ...
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    SIGPRO
    2010
    83views more  SIGPRO 2010»
    Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise
    14 years 6 months ago
    Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise
    Download  www-public.int-evry.fr
    Jérôme Lapuyade-Lahorgue, Wojciech Pi...
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    ESWA
    2011
    313views Database» more  ESWA 2011»
    Mining Markov chain transition matrix from wind speed time series data
    14 years 6 months ago
    Mining Markov chain transition matrix from wind speed time series data
    Download  www.icaen.uiowa.edu
    Zhe Song, Xiulin Geng, Andrew Kusiak, Chang Xu
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    FOCS
    1999
    IEEE
    125views Theoretical Computer Science» more  FOCS 1999»
    Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain
    15 years 4 months ago
    Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain
    Download  eprints.iisc.ernet.in
    We show that no Markovian Coupling argument can prove rapid mixing of the Jerrum-Sinclair Markov chain for sampling almost uniformly from the set of perfect and near perfect match...
    V. S. Anil Kumar, H. Ramesh
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