Sentence examples for probabilistic computations from inspiring English sources
Non-traditional uncertainty models, however, run counter to this criticism by enabling the solution of problems that defy an appropriate treatment with traditional probabilistic computations due to non-frequentative characteristics, a lack of available information, or subjective influences.
Without a reasonably accurate description of the damage process at a scale that is pertinent to the desired application, probabilistic computations have minimal value for prognosis and life cycle assessment.
The author is grateful to Dr. Marek Czosnyka, Neuroscience Group, University of Cambridge, UK, for introducing him to the key issues in CSF dynamics and hydrocephalus, for making data available from infusion studies conducted at Addenbrooke's Hospital, UK, and to the late Professor Anthony Marmarou for suggesting the probabilistic computations for critical events.
His research interests include domain theory, topological algebra and non-well-founded set theory in mathematics, semantics of high-level programming languages and computational models for probabilistic computation in computer science, and classical and quantum computation and information.
The properties in PRISM should be specified using the Continuos Stochastic Logic (CSL) [ 5], which is based on the Computational Tree Logic (CTL) and the Probabilistic Computation Tree Logic (PCTL).
Ramyaa is currently working on biologically realistic neural networks and probabilistic computation.
We use Probabilistic Computation Tree Logic (PCTL) as the formal logic to express system properties.
Time and space measures on computation, completeness, hierarchy theorems, inherently complex problems, oracles, probabilistic computation, and interactive proof systems.
The motivation for this work is our research on probabilistic computation with digital circuits.
At its heart, the software approach relies on probabilistic computation, on-line learning, and any-time algorithms.
The use of intrinsic nanoscale MOSFET noise for probabilistic computation is explored, using the continuous restricted Boltzmann machine (CRBM), a probabilistic neural model, as the exemplar architecture.
