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...ministic.<ref>Beck & Melchers, p. 2202.</ref> In this case, one defines a probabilistic failure barrier surface, <math> \mathbf R (t)</math>, over the [[vector spa ...of the [[NASA]]-designed [[NESSUS Probabilistic Analysis Software|NESSUS]] software.<ref>Shah ''et al.'', p. 5.</ref> It was initially used to analyse risks a ...

{{Short description|Probabilistic logic programming language}} {{Infobox software ...

{{Short description|Probabilistic programming language for Bayesian inference}} {{Infobox software ...

...algorithm has been implemented in the [[Mallet (software project)|MALLET]] software package published by McCallum's group at the [[University of Massachusetts * [[Probabilistic latent semantic indexing]] (PLSI), an early topic model from Thomas Hofmann ...

...ly outputting the most likely class that the observation should belong to. Probabilistic classifiers provide classification that can be useful in its own right<ref> Probabilistic classifiers generalize this notion of classifiers: instead of functions, th ...

{{Infobox software | genre = [[Simulation software]] ...

{{Infobox software ...learning | statistical relational learning (SRL)]] framework for modeling probabilistic and relational domains. ...

...em has been proposed that involves finding one or more secret keys using a probabilistic oracle. ...alization of Bernstein--Vazirani algorithm with multiple secret keys and a probabilistic oracle ...

...ile fitting techniques or further treatment of peak overlap. [[Probability|Probabilistic]] approaches may also be used to treat peak overlap. ...was limited. Le Bail is also easily integrated into [[Rietveld analysis]] software, and is a part of a number of programs. Both methods improve subsequent str ...

| title = Probabilistic integration: A role in statistical computation? (with discussion and rejoin | title = Probabilistic Numerics ...

A '''staged tree''' is a probabilistic model for a process consisting of a sequence of discrete valued events desc ...and relate this to a class of probability distributions to create a formal probabilistic model. When there is sufficient data, staged trees can instead be used as a ...

=== Probabilistic graphical model representation === == Software == ...

...primitive]] which would allow a [[computer program]] to be [[obfuscation (software)|obfuscated]] in a way such that it was impossible to determine anything ab ...{Cite web|date=2014-02-21|title=Cryptographic obfuscation and 'unhackable' software|url=https://blog.cryptographyengineering.com/2014/02/21/cryptographic-obfus ...

...classes of systems that can be composed with Reo include [[Component-based software engineering|component-based]] systems, [[Service-oriented architecture|serv == Software engineering properties == ...

...https://ieeexplore.ieee.org/document/9785808 |journal=IEEE Transactions on Software Engineering |volume=49 |issue=4 |pages=1487–1507 |arxiv=2109.04738 |doi=10. === Probabilistic modelling === ...

...ors=Sulston J, Mallett F, Staden R, Durbin R, Horsnell T, Coulson A |title=Software for genome mapping by fingerprinting techniques |journal=Comput Appl Biosci ...ng for shared markers, others are basically mathematical, usually adopting probabilistic and/or statistical approaches. ...

...ng secure processors designed in academia and industry include AEGIS and [[Software Guard Extensions|Intel SGX]]. But the memory addresses are still transferre Goldreich and Ostrovsky proposed this term on software protection. ...

...elman |first2=Daniel |last2=Lee |first3=Jiqiang |last3=Guo |title=Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization |journal=Journ * [[List of software for Monte Carlo molecular modeling|Software for Monte Carlo molecular modeling]] ...

...nted in several [[probabilistic programming language]]s, including [[Stan (software)|Stan]] and [[PyMC]]. ...

...Guidance for Superfund (RAGS) Volume III - Part A: Process for Conducting Probabilistic Risk Assessment |year=2001 |chapter=Appendix D: Advanced Modeling Approache ...ubjective uncertainty]] (or lack of knowledge) in the input quantity. The software tools then use methods such as [[Monte Carlo analysis]] to propagate the un ...