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    CMSB
    2010
    Springer
    113views Applied Computing» more  CMSB 2010»
    Stochasticity in reactions: a probabilistic Boolean modeling approach
    14 years 4 months ago
    Stochasticity in reactions: a probabilistic Boolean modeling approach
    Download  www.matheon.de
    Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
    Sven Twardziok, Heike Siebert, Alexander Heyl
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    CDC
    2009
    IEEE
    147views Control Systems» more  CDC 2009»
    A probabilistic approach for control of a stochastic system from LTL specifications
    14 years 7 months ago
    A probabilistic approach for control of a stochastic system from LTL specifications
    Download  people.bu.edu
    We consider the problem of controlling a continuous-time linear stochastic system from a specification given as a Linear Temporal Logic (LTL) formula over a set of linear predicate...
    Morteza Lahijanian, Sean B. Andersson, Calin Belta
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    IMCSIT
    2010
    142views Information Technology» more  IMCSIT 2010»
    On the Numerical Analysis of Stochastic Lotka-Volterra Models
    14 years 6 months ago
    On the Numerical Analysis of Stochastic Lotka-Volterra Models
    Download  www.proceedings2010.imcsit.org
    The stochastic Lotka-Volterra model is an infinite Markov population model that has applications in various life science domains. Its analysis is challenging since, besides an infi...
    Tugrul Dayar, Linar Mikeev, Verena Wolf
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    TGC
    2010
    Springer
    297views Applied Computing» more  TGC 2010»
    Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
    14 years 7 months ago
    Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
    Download  www.sti.uniurb.it
    Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
    Marco Bernardo, Rocco De Nicola, Michele Loreti
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    AAAI
    2011
    164views Intelligent Agents» more  AAAI 2011»
    Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
    13 years 9 months ago
    Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
    Download  www.ics.uci.edu
    We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
    Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
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