Search results for "Probability."

showing 10 items of 3396 documents

Choosing Optimal Seed Nodes in Competitive Contagion.

2019

International audience; In recent years there has been a growing interest in simulating competitive markets to find out the efficient ways to advertise a product or spread an ideology. Along this line, we consider a binary competitive contagion process where two infections, A and B, interact with each other and diffuse simultaneously in a network. We investigate which is the best centrality measure to find out the seed nodes a company should adopt in the presence of rivals so that it can maximize its influence. These nodes can be used as the initial spreaders or advertisers by firms when two firms compete with each other. Each node is assigned a price tag to become an initial advertiser whi…

Big Datagame theoryComputer scienceProcess (engineering)01 natural sciencescompetitive contagionMicroeconomics010104 statistics & probabilityArtificial IntelligenceNode (computer science)Computer Science (miscellaneous)seed nodes0101 mathematicsOriginal ResearchSmall numbercentrality measures010102 general mathematicsStochastic game[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]complex networksComplex networkProduct (business)CentralityGame theorycompetitive marketingInformation SystemsFrontiers in big data
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Self-stabilizing Balls & Bins in Batches

2016

A fundamental problem in distributed computing is the distribution of requests to a set of uniform servers without a centralized controller. Classically, such problems are modelled as static balls into bins processes, where m balls (tasks) are to be distributed to n bins (servers). In a seminal work, [Azar et al.; JoC'99] proposed the sequential strategy Greedy[d] for n = m. When thrown, a ball queries the load of d random bins and is allocated to a least loaded of these. [Azar et al.; JoC'99] showed that d=2 yields an exponential improvement compared to d=1. [Berenbrink et al.; JoC'06] extended this to m ⇒ n, showing that the maximal load difference is independent of m for d=2 (in contrast…

Mathematical optimizationMarkov chainSelf-stabilization0102 computer and information sciencesNew variantExpected value01 natural sciencesBinExponential functionCombinatorics010104 statistics & probability010201 computation theory & mathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYServerBall (bearing)0101 mathematicsMathematicsProceedings of the 2016 ACM Symposium on Principles of Distributed Computing
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Bayesian Modelling of Confusability of Phoneme-Grapheme Connections

2007

Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia. This has motivated the use of Literate, a computer game for training this skill, in several Finnish schools and households as a tool in the early prevention of reading disability. In this paper, we present a Bayesian model that uses a student's performance in a game like Literate to infer which phoneme-grapheme connections student currently confuses with each other. This information can be used to adapt the game to a particular student's skills as well as to provide information about the student's learning progress to their parents and teachers. We apply our model to …

Reading disabilityComputer sciencebusiness.industryBayesian probabilityDyslexiaGraphemecomputer.software_genreBayesian inferencemedicine.diseasemedicineArtificial intelligencebusinesscomputerNatural language processingNatural languageSeventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
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Arresting soliton collapse in two-dimensional nonlinear Schrödinger systems via spatiotemporal modulation of the external potential

2007

We predict stable, collapse-free solitonslike structures in two-dimensional nonlinear Schr\"odinger systems in subdiffractive regimes, accomplished by a spatiotemporal modulation of the external potential. We investigate the scaling laws, the stability, and the dynamical properties of these subdiffractive solitons.

Physicssymbols.namesakeNonlinear systemScaling lawClassical mechanicsModulationsymbolsCollapse (topology)SolitonNonlinear Sciences::Pattern Formation and SolitonsStability (probability)Atomic and Molecular Physics and OpticsSchrödinger's catPhysical Review A
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Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

2015

Objectives: We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. Methods: The presence of redundancy and/or synergy in multivariate time series data renders difficult to estimate the neat flow of information from each driver variable to a given target. We show that adopting an unnormalized definition of Granger causality one may put in evidence redundant multiplets of variables influencing the target by maximizing the total Granger causality to a given target, over all the possible partitions of the set of driving variables. Consequently we introduce a pairwise index of synergy which is zero when two in…

FOS: Computer and information sciencesgranger causality (GC)Multivariate statisticsComputer scienceRestComputer Science - Information TheoryBiomedical EngineeringsynergyFOS: Physical sciencescomputer.software_genre01 natural sciences03 medical and health sciences0302 clinical medicineGranger causality0103 physical sciencesConnectomeRedundancy (engineering)HumansBrain connectivityTime series010306 general physicsModels StatisticalHuman Connectome ProjectResting state fMRIredundancybusiness.industryInformation Theory (cs.IT)functional magnetic resonance imaging (fMRI)BrainPattern recognitionComplex networkMagnetic Resonance ImagingVariable (computer science)Physics - Data Analysis Statistics and ProbabilityQuantitative Biology - Neurons and CognitionFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPairwise comparisonNeurons and Cognition (q-bio.NC)Artificial intelligenceData miningNerve Netbusinesscomputer030217 neurology & neurosurgeryData Analysis Statistics and Probability (physics.data-an)
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Integrating retirement and permanent disability in NDC pension schemes

2015

ABSTRACTIn this article, we develop a theoretical basis for integrating retirement and permanent disability using a generic nonfinancial defined contribution framework. The methodology we use relies on a multistate overlapping generations model that includes the so-called survivor dividend. Currently, this feature can only be found in the Swedish defined contribution (DC) scheme. The results achieved in the numerical example we present endorse the fact that the model works well. Special attention is given to the assumptions made about mortality rates for disabled people and disability incidence rates, which largely determine the contribution rate assigned to disability. The model could be o…

Economics and EconometricsPensionActuarial science05 social sciencesDisabled peoplePermanent disabilityOverlapping generations model01 natural sciencesSocial security010104 statistics & probability0502 economics and businessEconomicsMuch difficultyDividend050207 economics0101 mathematicsDisability insuranceApplied Economics
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Locally Frozen Defects in Random Sequential Adsorption with Diffusional Relaxation

1993

Random sequential adsorption with diffusional relaxation, of two by two square objects on the two-dimensional square lattice is studied by Monte Carlo computer simulation. Asymptotically for large lattice sizes, diffusional relaxation allows the deposition process to reach full coverage. The coverage approaches the full occupation value, 1, as a power-law with convergence exponent near 1/2. For a periodic lattice of finite (even) size $L$, the final state is a frozen random rectangular grid of domain walls connecting single-site defects. The domain sizes saturate at L**0.8. Prior to saturation, i.e., asymptotically for infinite lattice, the domain growth is power-law with growth exponent ne…

Statistics and ProbabilityPeriodic latticeMaterials scienceCondensed matter physicsCondensed Matter (cond-mat)Monte Carlo methodFOS: Physical sciencesCondensed MatterCondensed Matter PhysicsFull coverageSquare latticeRandom sequential adsorptionLattice (order)ExponentDeposition process
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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Requestioning depression in patients with cancer: Contribution of somatic and affective symptoms to Beck's Depression Inventory

2007

Background: Depressive symptoms are a major complaint reported by cancer patients. Somatic and affective symptoms can contribute to depression. Patients and methods: We investigated the prevalence of somatic and affective depressive symptoms with the Beck Depression Inventory (BDI) in 213 hospitalized cancer patients prior to the start of chemotherapy. Results: Seventeen of 213 patients (8%) were screened positive for major depression; 40 (19%) had mild to moderate depressive symptoms. The corresponding figures for somatic and affective symptoms were 33.3% and 2.8% in the patients with major depression and 23.0% and 8.0% in those with mild to moderate depressive symptoms. Female patients, p…

AdultMalemedicine.medical_specialtyAdolescentComorbidityRisk AssessmentStatistics NonparametricHospitals UniversityAge DistributionQuality of lifeGermanyNeoplasmsSickness Impact ProfileSurveys and QuestionnairesInternal medicineAdaptation PsychologicalInterview PsychologicalPrevalencemedicineHumansSex DistributionPsychiatryDepression (differential diagnoses)AgedProbabilityPsychiatric Status Rating ScalesDepressive Disorderbusiness.industryCase-control studyBeck Depression InventoryCancerHematologyMiddle Agedmedicine.diseaseComorbidityChemotherapy regimenCausalityOncologyCase-Control StudiesQuality of LifeMajor depressive disorderFemalebusinessStress PsychologicalFollow-Up StudiesAnnals of Oncology
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Cauchy flights in confining potentials

2009

We analyze confining mechanisms for L\'evy flights evolving under an influence of external potentials. Given a stationary probability density function (pdf), we address the reverse engineering problem: design a jump-type stochastic process whose target pdf (eventually asymptotic) equals the preselected one. To this end, dynamically distinct jump-type processes can be employed. We demonstrate that one "targeted stochasticity" scenario involves Langevin systems with a symmetric stable noise. Another derives from the L\'evy-Schr\"odinger semigroup dynamics (closely linked with topologically induced super-diffusions), which has no standard Langevin representation. For computational and visualiz…

Statistics and ProbabilityPhysicsQuantum PhysicsStationary distributionStatistical Mechanics (cond-mat.stat-mech)Stochastic processSemigroupMathematical analysisFOS: Physical sciencesCauchy distributionProbability density functionMathematical Physics (math-ph)Condensed Matter PhysicsLangevin equationLévy flightQuantum Physics (quant-ph)Representation (mathematics)Mathematical PhysicsCondensed Matter - Statistical Mechanics
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