Search results for "Weighting"

showing 10 items of 117 documents

2020

While most of opinion formation models consider static networks, a dynamic opinion formation model is proposed in this work. The so-called Temporal Threshold Page Rank Opinion Formation model (TTPROF) integrates temporal evolution in two ways. First, the opinion of the agents evolve with time. Second, the network structure is also time varying. More precisely, the relations between agents evolve with time. In the TTPROF model, a node is affected by part of its neighbor's opinions weighted by their Page Rank values. A threshold is introduced in order to limit the neighbors that can share their opinion. In other words, a neighbor influences a node if the difference between their opinions is b…

Theoretical computer scienceGeneral Computer ScienceComputer scienceNode (networking)Work (physics)General Engineering01 natural sciences010305 fluids & plasmasWeightingOrder (exchange)0103 physical sciencesConvergence (routing)General Materials ScienceFraction (mathematics)Limit (mathematics)010306 general physicsCentralityIEEE Access
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Performance comparison of residual related algorithms for ToA positioning in wireless terrestrial and sensor networks

2009

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." Article also available from publisher: http://dx.doi.org/10.1109/WIRELESSVITAE.2009.5172462 Time of Arrival (ToA) is a popular technique for terrestrial positioning. This paper presents a comparison of ToA based residual related positioning algorithms in wireless terrestrial and sensor networks in both long range outdoor and short range indoor environments. Us…

Time of arrivalComputational complexity theoryComputer scienceIterative methodbusiness.industryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552WirelessResidualCommunication complexitybusinessWireless sensor networkAlgorithmWeighting
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Precise measurement of the top quark mass in dilepton decays using optimized neutrino weighting

2016

We measure the top quark mass in dilepton final states of top-antitop events in proton-antiproton collisions at sqrt(s) = 1.96 TeV, using data corresponding to an integrated luminosity of 9.7 fb^-1 at the Fermilab Tevatron Collider. The analysis features a comprehensive optimization of the neutrino weighting method to minimize the statistical uncertainties. We also improve the calibration of jet energies using the calibration determined in top-antitop to lepton+jets events, which reduces the otherwise limiting systematic uncertainty from the jet energy scale. The measured top quark mass is mt = 173.32 +/- 1.36(stat) +/- 0.85(syst) GeV.

Top quarkdependence [flavor]TevatronATLAS DETECTORJet (particle physics)pair production [top]7. Clean energy01 natural sciencesHigh Energy Physics - ExperimentPhysics Particles & FieldsSubatomär fysikHigh Energy Physics - Experiment (hep-ex)DZEROSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HADRON COLLIDERSBatavia TEVATRON CollFermilabNuclear ExperimentGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Physicsscattering [anti-p p]Luminosity (scattering theory)PhysicsNuclear & Particles Physicslcsh:QC1-999Physics NuclearPhysical SciencesPOLEflavor [quark]mass: measured [top]Neutrinotop quark mass; dilepton decays; neutrino weightingdata analysis methodParticle physicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaSTANDARD MODELFOS: Physical sciencesAstronomy & AstrophysicsAccelerator Physics and Instrumentation530Standard ModelNuclear physics0202 Atomic Molecular Nuclear Particle And Plasma Physicsfinal state [dilepton]0103 physical sciencesMODEL HIGGS-BOSONddc:530High Energy Physics010306 general physics1960 GeV-cmsScience & TechnologyPP COLLISIONSIDENTIFICATION010308 nuclear & particles physicsDATA processing & computer scienceHigh Energy Physics::PhenomenologyAcceleratorfysik och instrumenteringenergy [jet]PRODUCTION CROSS-SECTION(MS)OVER-BAR MASSEScalibration [jet]Experimental High Energy PhysicsPhysics::Accelerator PhysicsTEVHigh Energy Physics::Experimentddc:004statisticalcolliding beams [anti-p p]lcsh:Physicsexperimental resultsLepton
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Volatility Weighting over Time in the Presence of Transaction Costs

2019

Numerous empirical studies demonstrate the superiority of dynamic strategies with a volatility-weighting-over-time mechanism. These strategies control the portfolio risk over time by adjusting the risk exposure according to updated volatility forecasts. Yet, to reap all the benefits promised by volatility weighting over time, the composition of the active portfolio must be revised rather frequently. Transaction costs represent a serious obstacle to benefiting from this dynamic risk control technique. In this article, we propose a modified volatility-weighting strategy that allows one to reduce dramatically the amount of trading costs. The empirical evidence shows that the advantages of the …

Transaction cost010407 polymers050208 financeComputer science05 social sciencesControl (management)01 natural sciences0104 chemical sciencesWeightingEmpirical researchObstacle0502 economics and businessEconometricsGeneral Earth and Planetary SciencesPortfolioVolatility (finance)Empirical evidenceGeneral Environmental ScienceThe Journal of Wealth Management
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Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

2010

Accepted version of an article published in the journal: Pattern Recognition. Published version on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.01.018 Linear dimensionality reduction (LDR) techniques have been increasingly important in pattern recognition (PR) due to the fact that they permit a relatively simple mapping of the problem onto a lower-dimensional subspace, leading to simple and computationally efficient classification strategies. Although the field has been well developed for the two-class problem, the corresponding issues encountered when dealing with multiple classes are far from trivial. In this paper, we argue that, as opposed to the traditional LDR multi-class schemes…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413business.industryVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Dimensionality reductionDecision treePattern recognitionBayes classifierLinear discriminant analysisLinear subspaceWeightingArtificial IntelligenceSignal ProcessingPairwise comparisonComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmSoftwareSubspace topologyMathematics
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QSPR Modeling of Hydrocarbon Dipole Moments by Means of Correlation Weighting of Local Graph Invariants

2003

Hydrocarbon dipole moments are calculated by means of correlation weighting of local graph invariants within the context of QSPR theory. This sort of flexible topological descriptor is used for several parameters: local invariants of k th vertex in the labeled hydrogen filled graph extended connectivity of zero-, first- and second-orders, number of paths of length 2 at k th vertex and valence shell of the k th vertex. The models predict hydrocarbon dipole moments in a quite sensible way. The best model is that one based upon numbers of path length 2 correlation weighting.

Vertex (graph theory)chemistry.chemical_classificationMathematical analysisComputer Science ApplicationsWeightingCorrelationDipoleHydrocarbonComputational Theory and MathematicsPath lengthchemistryComputational chemistrysortPhysical and Theoretical ChemistryValence electronMathematicsJournal of Theoretical and Computational Chemistry
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Vibration control of vehicle engine-body systems with time delay: an LMI approach

2013

The objective of this chapter is to study the problem of vibration control analysis and synthesis in a vehicle engine-body vibration structure. It is assumed that the actuator is subject to a time-varying delay for control of bounce and pitch vibrations. Based on a Lyapunov-Krasovskii functional and using some free weighting matrices, delay-dependent sufficient conditions for designing desired state- and output-feedback controllers are given in terms of linear matrix inequalities (LMIs). The state- and output-feedback controllers, which guarantee asymptotic stability with a prescribed γ-level L2-gain (or H∞ performance), are then developed directly instead of coupling the second-order model…

VibrationCouplingEngineeringExponential stabilityControl theorybusiness.industryConvex optimizationVibration controlControl engineeringActuatorbusinessWeighting
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Feedback vibration control of a base-isolated building with delayed measurements using h<inf>∞</inf> techniques

2010

In this paper we address the problem of vibration reduction of buildings with delayed measurements, where the delays are time-varying and bounded. We focus on a convex optimization approach to the problem of state-feedback H ∞ control design. An appropriate Lyapunov-Krasovskii functional and some free weighting matrices are used to establish some delay-range-dependent sufficient conditions for the design of desired controllers in terms of linear matrix inequalities (LMIs). The controller, which guarantees asymptotic stability and an H ∞ performance, simultaneously, for the closed-loop system of the structure, is then developed. The performance of the controller is evaluated through the simu…

VibrationReduction (complexity)Exponential stabilityControl theoryBounded functionConvex optimizationVibration controlWeightingMathematicsProceedings of the 2010 American Control Conference
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2016

Processing natural scenes requires the visual system to integrate local features into global object descriptions. To achieve coherent representations, the human brain uses statistical dependencies to guide weighting of local feature conjunctions. Pairwise interactions among feature detectors in early visual areas may form the early substrate of these local feature bindings. To investigate local interaction structures in visual cortex, we combined psychophysical experiments with computational modeling and natural scene analysis. We first measured contrast thresholds for 2x2 grating patch arrangements (plaids), which differed in spatial frequency composition (low, high or mixed), number of gr…

Visual perceptionComputer scienceOrientation (computer vision)Cognitive Neurosciencemedia_common.quotation_subject05 social sciencesNeuroscience (miscellaneous)050105 experimental psychologyWeighting03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineVisual cortexmedicine.anatomical_structureDevelopmental NeuroscienceFeature (computer vision)StatisticsmedicineContrast (vision)0501 psychology and cognitive sciencesSpatial frequencyVisual angle030217 neurology & neurosurgerymedia_commonFrontiers in Systems Neuroscience
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Characterization of the human visual system threshold performance by a weighting function in the Gabor domain

1997

Abstract As evidenced by many physiological and psychophysical reports, the receptive fields of the first-stage set of mechanisms of the visual process fit to two-dimensional (2D) compactly supported harmonic functions. The application of this set of band-pass filter functions to the input signal implies that the visual system carries out some kind of conjoint space/spatial frequency transform. Assuming that a conjoint transform is carried out, we present in this paper a new characterization of the visual system performance by means of a weighting function in the conjoint domain. We have called this weighting function (in the particular case of the Gabor transform) the Gabor stimuli Sensiti…

Weight functionbusiness.industryComputer sciencePattern recognitionFilter (signal processing)Function (mathematics)Gabor transformAtomic and Molecular Physics and OpticsWeightingsymbols.namesakeOpticsFourier transformHuman visual system modelsymbolsArtificial intelligenceSpatial frequencybusinessJournal of Modern Optics
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