Search results for "Probabilistic logic"

showing 3 items of 253 documents

Stochastic Response on Non-Linear Systems under Parametric Non-Gaussian Agencies

1992

The probabilistic response characterization of non-linear systems subjected to non-normal delta correlated parametric excitation is obtained. In order to do this an extension of both Ito’s differential rule and the Fokker-Planck equation is presented, enabling one to account for the effect of the non-normal input. The validity of the approach reported here is confirmed by results obtained by means of a Monte Carlo simulation.

symbols.namesakeNonlinear systemGaussianMonte Carlo methodStatisticsProbabilistic logicsymbolsApplied mathematicsExtension (predicate logic)Differential (infinitesimal)ExcitationMathematicsParametric statistics
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Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks

2015

The Sleeping Cell problem is a particular type of cell degradation in Long-Term Evolution (LTE) networks. In practice such cell outage leads to the lack of network service and sometimes it can be revealed only after multiple user complains by an operator. In this study a cell becomes sleeping because of a Random Access Channel (RACH) failure, which may happen due to software or hardware problems. For the detection of malfunctioning cells, we introduce a data mining based framework. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving Base Station (BS). The crucial element of the developed framework is an anomaly detection algorithm. We compare perfor…

ta113Engineeringta213business.industryEvent (computing)Real-time computingProbabilistic logicdata miningSONanomaly detectionself-organizing networksLTEBase stationcell outageSoftwareRandom-access channelUser equipmentNetwork serviceAnomaly detectionmobile cellular networkstiedonlouhintabusiness
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Context–content systems of random variables : The Contextuality-by-Default theory

2016

Abstract This paper provides a systematic yet accessible presentation of the Contextuality-by-Default theory. The consideration is confined to finite systems of categorical random variables, which allows us to focus on the basics of the theory without using full-scale measure-theoretic language. Contextuality-by-Default is a theory of random variables identified by their contents and their contexts, so that two variables have a joint distribution if and only if they share a context. Intuitively, the content of a random variable is the entity the random variable measures or responds to, while the context is formed by the conditions under which these measurements or responses are obtained. A …

ta113Theoretical computer scienceComputer scienceApplied Mathematicscouplings05 social sciencesta111Probabilistic logicContext (language use)01 natural sciencesMeasure (mathematics)050105 experimental psychologyconnectednessKochen–Specker theoremrandom variablesJoint probability distribution0103 physical sciences0501 psychology and cognitive sciencescontextualityNegative number010306 general physicsCategorical variableRandom variableGeneral PsychologyJournal of Mathematical Psychology
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