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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 3 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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    STOC
    2003
    ACM
    119views Algorithms» more  STOC 2003»
    A stochastic process on the hypercube with applications to peer-to-peer networks
    16 years 3 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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    SOFSEM
    2009
    Springer
    107views Theoretical Computer Science» more  SOFSEM 2009»
    An Efficient Symbolic Elimination Algorithm for the Stochastic Process Algebra Tool CASPA
    15 years 11 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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    MFCS
    2009
    Springer
    85views Theoretical Computer Science» more  MFCS 2009»
    Stochastic Process Creation
    15 years 9 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 9 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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