Results 291 to 300 of about 700,908 (311)
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ACM Transactions on Database Systems, 2012
In many applications involving multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions for selecting one object that fits best their personal needs. As a key feature, the skyline in a multidimensional space provides the minimum set of candidates for such purposes by removing ...
Wenjie Zhang 0001 +4 more
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In many applications involving multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions for selecting one object that fits best their personal needs. As a key feature, the skyline in a multidimensional space provides the minimum set of candidates for such purposes by removing ...
Wenjie Zhang 0001 +4 more
openaire +1 more source
Stochastic Model Checking with Stochastic Comparison
2005This paper presents a stochastic comparison based method to check state formulas defined over Discrete Time Markov Reward Models. High-level specifications like stochastic Petri nets, Stochastic Automata Networks, Stochastic Process Algebras have been developed to construct large Markov models.
Nihal Pekergin, Sana Younès
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2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
We present a novel stochastic framework for non-blind deconvolution based on point samples obtained from random walks. Unlike previous methods that must be tailored to specific regularization strategies, the new Stochastic Deconvolution method allows arbitrary priors, including non-convex and data-dependent regularizers, to be introduced and tested ...
James Gregson +4 more
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We present a novel stochastic framework for non-blind deconvolution based on point samples obtained from random walks. Unlike previous methods that must be tailored to specific regularization strategies, the new Stochastic Deconvolution method allows arbitrary priors, including non-convex and data-dependent regularizers, to be introduced and tested ...
James Gregson +4 more
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Improving Stochastic Model Checking with Stochastic Bounds
2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2006Stochastic model checking requires the computation of steady-state or transient distribution for finite or infinite Markov chains for the evaluation of some formulas implying probabilities. However the numerical analysis of Markov chains is much less efficient than the sophisticated algorithmic techniques such as MTBDD developed for the deterministic ...
Fourneau, Jean-Michel +2 more
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Comparison of stochastic adaptation and stochastic resonance
Physical Review EStochastic resonance is a phenomenon possessed by some nonlinear oscillators, in which a weak signal is boosted by noise. Both the monostable and bistable Duffing oscillators can exhibit this property. However, stochastic resonance has a strong frequency-dependence, as only a band of frequencies may be boosted by noise.
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Stochastic mechanics and stochastic quantization
Il Nuovo Cimento B Series 11, 1982Criteria are proposed that will allow one to decide when a physical theory is a «stochastic mechanics». The standard formulation of stochastic quantization at zero temperature is shown to not satisfy these criteria. By analysing the incompatibilities with Fokker-Planck dynamics, stochastic quantization is modified to give a true stochastic mechanics ...
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On Lagrangian stochastic methods for turbulent polydisperse two-phase reactive flows
Progress in Energy and Combustion Science, 2015Jean-Pierre Minier
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Detection methods for stochastic gravitational-wave backgrounds: a unified treatment
Living Reviews in Relativity, 2017Joseph D Romano +2 more
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