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...'' factors: <math>w_i = \{f_i^1, ..., f_i^k\}.</math> An FLM provides the probabilistic model <math>P(f|f_1, ..., f_N)</math> where the prediction of a factor <mat A major advantage of factored language models is that they allow users to specify linguistic knowledge such as the relati ...

...nbari|first3=Mahshid|last4=Warziniack|first4=Travis|date=June 2020|title=A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity | title = Mixture Models: Parametric, Semiparametric, and New Directions ...

'''Probabilistic latent semantic analysis''' ('''PLSA'''), also known as '''probabilistic latent semantic indexing''' ('''PLSI''', especially in information retrieva ...s the occurrence tables (usually via a [[singular value decomposition]]), probabilistic latent semantic analysis is based on a mixture decomposition derived from a ...

...st2=Anita |title=Fast Marginal Likelihood Maximisation for Sparse Bayesian Models |journal=Proceedings of the Ninth International Workshop on Artificial Inte ...identical functional form to the [[support vector machine]], but provides probabilistic classification. ...

{{Short description|Probabilistic graphical model}} |title=Dynamic Network Models for Forecasting ...

...point according to some [[probability distribution]]. As a consequence, a probabilistic Turing machine can (unlike a deterministic Turing machine) have [[stochasti In the case of equal probabilities for the transitions, probabilistic Turing machines can be defined as deterministic [[Turing machine]]s having ...

{{short description|Probabilistic model}} ...sing graphs|the computer graphics journal|Graphical Models{{!}}''Graphical Models''}} ...

...s reason there has been a drive in recent years to create whole atmosphere models to investigate whether or not this is the case. ==Probabilistic forecasting== ...

...size GLAMEPS has been operational since 2013, to serve the needs of 2-day probabilistic forecasts at the HIRLAM and ALADIN member services. * Inger-lise Frogner, met.no, Project leader on probabilistic forecasting ...

...n Monte Carlo]] methods. The group is also a leading area of research into probabilistic programming methods for protein structure prediction. ...er is headed by [[Anders Krogh]], who pioneered the use of [[hidden Markov models]] in [[bioinformatics]], together with [[David Haussler]]. The center furth ...

...rea00pear }}</ref> A Markov blanket may be derived from the structure of a probabilistic graphical model such as a [[Bayesian network]] or [[Markov random field]].< ...ov blanket is rooted in the '''Markov condition''', which states that in a probabilistic graphical model, each variable is conditionally independent of its non-desc ...

...[[junction tree algorithm]], used in [[belief propagation]] on [[graphical models]]. ...= Spiegelhalter |first4= David J.|author4-link=David Spiegelhalter |title= Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Netwo ...

...as a [[state transition system|labelled transition system]]. Between these models, [[bisimilarity]] is used as a semantic equivalence. ==Related calculi, models, and languages== ...

...[[mollusk]]s. The theory has also been applied for a purely [[probability|probabilistic]] derivation of the fundamental physical principle: [[conservation of mass] [[Category:Markov models]] ...

...el M. Pothos and Andy J. Wills|chapter=Cobweb models of categorization and probabilistic concept formation}}</ref> ...

...led overlapping). The statistic tests the [[null hypothesis]] that the two models are equally close to the true data generating process, against the alternat With strictly non-nested models and [[iid]] exogenous variables, model 1 (2) is preferred with significance ...

...eiger |first1=Dan |last2=Pearl |first2=Judea |title=On the Logic of Causal Models |journal=Machine Intelligence and Pattern Recognition |date=1990 |volume=9 {{Main|Probabilistic causation}} ...

==Computability theory: models of computation== *[[Probabilistic algorithm]], [[randomized algorithm]] ...

...out how people make choices:<ref>{{Cite journal|title = Some probabilistic models of best, worst, and best–worst choices|journal = Journal of Mathematical Ps ...ournal|title = Variants of the method of triads: Unidimensional Thursonian models|journal = British Journal of Mathematical and Statistical Psychology|date = ...

'''SAPHIRE''' is a probabilistic risk and reliability assessment software tool. SAPHIRE stands for ''Systems ...egan in the mid-1980s when the NRC began exploring two notions: 1) that [[Probabilistic Risk Assessment]] (PRA) information could be displayed and manipulated usin ...