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    ICML
    1999
    IEEE
    163views Machine Learning» more  ICML 1999»
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    16 years 1 months ago
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    Download  www.ri.cmu.edu
    We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
    Sebastian Thrun, John Langford, Dieter Fox
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    65
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    STOC
    2003
    ACM
    119views Algorithms» more  STOC 2003»
    A stochastic process on the hypercube with applications to peer-to-peer networks
    16 years 1 months ago
    A stochastic process on the hypercube with applications to peer-to-peer networks
    Download  www.ic.unicamp.br
    Micah Adler, Eran Halperin, Richard M. Karp, Vijay...
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    83
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    SOFSEM
    2009
    Springer
    107views Theoretical Computer Science» more  SOFSEM 2009»
    An Efficient Symbolic Elimination Algorithm for the Stochastic Process Algebra Tool CASPA
    15 years 9 months ago
    An Efficient Symbolic Elimination Algorithm for the Stochastic Process Algebra Tool CASPA
    Download  www.ksi.mff.cuni.cz
    Jens Bachmann, Martin Riedl, Johann Schuster, Mark...
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    63
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    MFCS
    2009
    Springer
    85views Theoretical Computer Science» more  MFCS 2009»
    Stochastic Process Creation
    15 years 7 months ago
    Stochastic Process Creation
    Download  www7.in.tum.de
    Javier Esparza
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    SAT
    2009
    Springer
    118views Hardware» more  SAT 2009»
    Improving Variable Selection Process in Stochastic Local Search for Propositional Satisfiability
    15 years 7 months ago
    Improving Variable Selection Process in Stochastic Local Search for Propositional Satisfiability
    Download  www.cse.yorku.ca
    Anton Belov, Zbigniew Stachniak
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