Search results for "Probability"

showing 10 items of 3417 documents

Assessment of qualitative judgements for conditional events in expert systems

1991

business.industryComputer scienceConditional events; qualitative probabilities.; linear and nonlinear systems; numerical probabilities; coherenceConditional eventsqualitative probabilitiesExpert elicitationConditional probability distributioncomputer.software_genreMachine learningExpert systemcoherencenumerical probabilitieslinear and nonlinear systemsArtificial intelligencebusinesscomputer
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Capacity studies of spatially correlated MIMO Rice channels

2010

In this paper, we have studied the statistical properties of the capacity of spatially correlated multiple-input multiple-output (MIMO) Rice channels. We have derived an exact closed-form expression for the probability density function (PDF) and an exact expression for the cumulative distribution function (CDF) of the channel capacity for single-input multiple-output (SIMO) and multiple-input single-output (MISO) systems. Furthermore, an accurate closed-form expression has been derived for the level-crossing rate (LCR) and an accurate expression has been obtained for the average duration of fades (ADF) of the SIMO and MISO channel capacities. For the MIMO case, we have investigated the PDF,…

business.industryComputer scienceCumulative distribution functionMIMOTransmitterProbability density functionTopologyChannel capacityProbability distributionAntenna (radio)TelecommunicationsbusinessComputer Science::Information TheoryCommunication channelIEEE 5th International Symposium on Wireless Pervasive Computing 2010
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Fallzahlplanung in referenzkontrollierten Diagnosestudien

2002

Purpose: A tutorial illustration of a flexible approach to determine the sample size in reference-controlled diagnostic trials. Materials and Methods: Assuming the usual setting of a new diagnostic method to be compared with a reference method, the emphasis is on the sensitivity of the new method in comparison with the reference method, using a binary outcome (positive versus negative) for both methods. Based on the confidence interval of the sensitivity, a simple but flexible procedure for determining the sample size is described, which incorporates clinically interpretable information. The procedure is illustrated by the fictious planning of a trial to assess the diagnostic value of MRI v…

business.industryComputer scienceDiagnostic TrialMachine learningcomputer.software_genreOutcome (probability)Confidence intervalClinical trialSample size determinationRange (statistics)A priori and a posterioriRadiology Nuclear Medicine and imagingSensitivity (control systems)Artificial intelligencebusinesscomputerRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Performance analysis of binary DPSK modulation schemes over Hoyt fading channels

2009

This paper presents a performance analysis of differential phase shift keying (DPSK) modulation schemes over Hoyt fading channels. Based upon the theory of DPSK modulation and a recently derived formula for the probability density function (PDF) of the differential phase between two Hoyt vectors contaminated by additive white Gaussian noise (AWGN), the bit error probability (BEP) for DPSK systems with noncoherent demodulation over Hoyt channels is analyzed. In the analysis, the correlation between adjacent bits is taken into account. The obtained theoretical results are fully validated first by reducing them to the corresponding known solutions for the Rayleigh fading distribution being a s…

business.industryComputer scienceKeyingComputer Science::Performancesymbols.namesakeFading distributionAdditive white Gaussian noiseModulationsymbolsDemodulationProbability distributionFadingTelecommunicationsbusinessAlgorithmComputer Science::Information TheoryRayleigh fading2009 6th International Symposium on Wireless Communication Systems
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An adaptive probabilistic graphical model for representing skills in PbD settings

2010

business.industryComputer scienceProgramming by demonstrationBayesian probabilityProbabilistic logicMachine learningcomputer.software_genreUnsupervised learningArtificial intelligenceGraphical modelMachine Learning Imitation Learning Incremental Learning Dynamic Bayesian Network Growing Hierarchical Dynamic Bayesian NetworkAutomatic programmingbusinessHidden Markov modelcomputerDynamic Bayesian network
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Statistical properties of the capacity of Rice channels with MRC and EGC

2009

In this paper, we have studied the statistical properties of the capacity of Rice channels for both maximal ratio combining (MRC) and equal gain combining (EGC) schemes. We have analyzed the effect of the number of diversity branches and the amplitude of the line-of-sight (LOS) components in the diversity branches on the statistics of the channel capacity. Specifically, we have derived analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the capacity of Rice channels when using MRC and EGC. It is observed that if the number of diversity branches or the amplitude of the LOS…

business.industryCumulative distribution functionProbability density functionrespiratory systemAntenna diversityChannel capacitySignal-to-noise ratioAmplitudeStatisticsWirelessMaximal-ratio combiningbusinessTelecommunicationshuman activitiesComputer Science::Information TheoryMathematics2009 International Conference on Wireless Communications & Signal Processing
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Structural assessment of the EU-DEMO WCLL Central Outboard Blanket segment under normal and off-normal operating conditions

2021

Abstract Within the framework of the EUROfusion design activities concerning the EU-DEMO Breeding Blanket (BB) system, a research campaign has been carried out at the University of Palermo with the aim of investigating the structural behaviour of the DEMO Water-Cooled Lithium Lead (WCLL) Central Outboard Blanket (COB) segment. The assessment has been performed considering three different loading scenarios: the Normal Operation (NO), the Over-Pressurization (OP) and the Upward Vertical Displacement Event (VDE-up). In particular, NO scenario represents the loading case referring to the nominal operating conditions, whereas the OP scenario refers to the loading conditions due to an in-box LOCA…

business.industryDesign activitiesMechanical EngineeringFEM analysisStructural engineeringVDEBlanketPlasma volumeVertical motionFinite element methodWCLLNuclear Energy and EngineeringPlasma chamberGeneral Materials ScienceVertical displacementBreeding blanketbusinessDEMOGeologySettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringEvent (probability theory)
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A measurement-based trajectory model for drifted motions towards a target zone

2016

Trajectory models have numerous applications in the area of wiewlwss communications. The aim of this paper is to develop an empirical trajectory model for drifted motions. Recently, a highly flexible trajectory model based on the primitives of Brownian fields (TramBrown) was proposed by A. Borhani and M. Patzold. This paper provides an empirical proof for TramBrown using global positioning system (GPS) data collected from real life user traces drifting to a particular target point or a zone. The recorded location coordinates of the mobile user are processed to compute the total travelling length and the angle-of-motion (AOM) along the drifted trajectory. It is shown that the probability den…

business.industryGaussianMathematical analysisProbability density functionsymbols.namesakeGeographyLog-normal distributionLine (geometry)symbolsTrajectoryGlobal Positioning SystemPoint (geometry)businessSimulationBrownian motion2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)
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An algorithm for earthquakes clustering based on maximum likelihood

2007

In this paper we propose a clustering technique set up to separate and find out the two main components of seismicity: the background seismicity and the triggered one. We suppose that a seismic catalogue is the realization of a non homogeneous space-time Poisson clustered process, with a different parametrization for the intensity function of the Poisson-type component and of the clustered (triggered) component. The method here proposed assigns each earthquake to the cluster of earthquakes, or to the set of independent events, according to the increment to the likelihood function, computed using the conditional intensity function estimated by maximum likelihood methods and iteratively chang…

business.industryPattern recognitionMaximum likelihood sequence estimationPoisson distributionPoint processPhysics::Geophysicssymbols.namesakeCURE data clustering algorithmsymbolsETAS model earthquakes point process clusteringArtificial intelligenceSettore SECS-S/01 - Statisticaclustering earthquakesCluster analysisLikelihood functionbusinessAlgorithmPoint processes conditional intensity function likelihood function clustering methodRealization (probability)k-medians clusteringMathematics
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Combining similarity measures in content-based image retrieval

2008

The purpose of content based image retrieval (CBIR) systems is to allow users to retrieve pictures from large image repositories. In a CBIR system, an image is usually represented as a set of low level descriptors from which a series of underlying similarity or distance functions are used to conveniently drive the different types of queries. Recent work deals with combination of distances or scores from different and usually independent representations in an attempt to induce high level semantics from the low level descriptors of the images. Choosing the best method to combine these results requires a careful analysis and, in most cases, the use of ad-hoc strategies. Combination based on or…

business.industryPattern recognitionSimilarity measureContent-based image retrievalcomputer.software_genreSimilitudeImage (mathematics)Set (abstract data type)Similarity (network science)Artificial IntelligenceSignal ProcessingProbability distributionComputer Vision and Pattern RecognitionData miningArtificial intelligencebusinesscomputerImage retrievalSoftwareMathematicsPattern Recognition Letters
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