Search results for "Paris"

showing 10 items of 1097 documents

Qualitative Comparison of Community Detection Algorithms

2011

Community detection is a very active field in complex networks analysis, consisting in identifying groups of nodes more densely interconnected relatively to the rest of the network. The existing algorithms are usually tested and compared on real-world and artificial networks, their performance being assessed through some partition similarity measure. However, artificial networks realism can be questioned, and the appropriateness of those measures is not obvious. In this study, we take advantage of recent advances concerning the characterization of community structures to tackle these questions. We first generate networks thanks to the most realistic model available to date. Their analysis r…

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionFOS: Physical sciences02 engineering and technologyPhysics and Society (physics.soc-ph)Similarity measure[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Complex NetworksField (computer science)Qualitative analysis020204 information systems0202 electrical engineering electronic engineering information engineeringSocial and Information Networks (cs.SI)Algorithms ComparisonArtificial networks[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science - Social and Information Networks[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Complex networkPartition (database)Community Properties020201 artificial intelligence & image processingAlgorithmCommunity Detection
researchProduct

Detecting informative higher-order interactions in statistically validated hypergraphs

2021

Recent empirical evidence has shown that in many real-world systems, successfully represented as networks, interactions are not limited to dyads, but often involve three or more agents at a time. These data are better described by hypergraphs, where hyperlinks encode higher-order interactions among a group of nodes. In spite of the large number of works on networks, highlighting informative hyperlinks in hypergraphs obtained from real world data is still an open problem. Here we propose an analytic approach to filter hypergraphs by identifying those hyperlinks that are over-expressed with respect to a random null hypothesis, and represent the most relevant higher-order connections. We apply…

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceQC1-999Open problemFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Astrophysicscomputer.software_genreENCODEMethodology (stat.ME)Statistics - MethodologySocial and Information Networks (cs.SI)PhysicsComputer Science - Social and Information NetworksFilter (signal processing)HyperlinkClass (biology)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)QB460-466Pairwise comparisonData miningNoise (video)Null hypothesiscomputerhigher order interactions statistical validation complex networksCommunications Physics
researchProduct

Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison

2020

Abstract Nonparametric and machine learning methods are flexible methods for obtaining accurate predictions. Nowadays, data sets with a large number of predictors and complex structures are fairly common. In the presence of item nonresponse, nonparametric and machine learning procedures may thus provide a useful alternative to traditional imputation procedures for deriving a set of imputed values used next for the estimation of study parameters defined as solution of population estimating equation. In this paper, we conduct an extensive empirical investigation that compares a number of imputation procedures in terms of bias and efficiency in a wide variety of settings, including high-dimens…

FOS: Computer and information sciencesStatistics and ProbabilityStatistics::ApplicationsEmpirical comparisonbusiness.industryComputer scienceApplied MathematicsNonparametric statisticsMachine learningcomputer.software_genreStatistics - ComputationVariety (cybernetics)Methodology (stat.ME)Set (abstract data type)Statistics::MethodologyImputation (statistics)Artificial intelligenceStatistics Probability and UncertaintybusinesscomputerStatistics - MethodologyComputation (stat.CO)Social Sciences (miscellaneous)Journal of Survey Statistics and Methodology
researchProduct

The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario

2019

In this paper, we disclose the statistical behavior of the max-product algorithm configured to solve a maximum a posteriori (MAP) estimation problem in a network of distributed agents. Specifically, we first build a distributed hypothesis test conducted by a max-product iteration over a binary-valued pairwise Markov random field and show that the decision variables obtained are linear combinations of the local log-likelihood ratios observed in the network. Then, we use these linear combinations to formulate the system performance in terms of the false-alarm and detection probabilities. Our findings indicate that, in the hypothesis test concerned, the optimal performance of the max-product a…

FOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryMarkovin ketjut02 engineering and technologyMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineeringMaximum a posteriori estimationmax-product algorithmElectrical and Electronic EngineeringLinear combinationStatistical hypothesis testingdistributed systemsMarkov random fieldspectrum sensingApplied MathematicsNode (networking)Information Theory (cs.IT)linear data-fusionApproximation algorithm020206 networking & telecommunicationsComputer Science Applicationssum-product algorithmPairwise comparisonRandom variableAlgorithmstatistical inference
researchProduct

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)
researchProduct

Open collaboration strategy of international retailers: an analysis of co-creator

2017

Nowadays, online channels provide better distribution and communication strategies between companies and consumers. The importance of establishing online tools based on innovations and customer participation, is equally applicable to the international retail sector. Retail companies are able to reach consumers through their online channels, providing better ways to stand out from competitors. The options of joint open collaboration between international retails brands and its consumers implicate a transformation about the traditional communication between customers and companies. The objective of the present work is to analyze how the consumer experience is perceived after its participation…

Fashion industryEngagementCultural comparison UK-SpainCo-creation experienceSatisfactionStructural equation model
researchProduct

"La construction du personnage dans les derniers récits de Raffaele La Capria"

2018

C’est à la fin des années soixante-dix, au moment où d’anciens protagonistes des avant-gardes littéraires (comme Sollers en France ou Eco en Italie) renouent avec la fiction, que Raffaele La Capria, l’un des précurseurs dans la péninsule du roman expérimental, renonce définitivement au genre. Amore e Psiche, publié pour la première fois en 1973, fera l’objet de plusieurs remaniements sans que l’auteur en soit jamais satisfait. À partir des années quatre-vingt, La Capria ne publie plus que des...

Federico Fellinimutations du récit[SHS.LITT]Humanities and Social Sciences/Literature"roman"Daniele Del GiudiceRaffaele La CapriaLIT004200Laura ParianiAntonio Tabucchi[ SHS.LITT ] Humanities and Social Sciences/LiteraturerécitDSBGianni Celati[SHS.LITT] Humanities and Social Sciences/LiteratureItalo CalvinoGoffredo Parise"personnage"personnagelittérature italienne contemporaineromanLiterature Romance
researchProduct

Flexible negotiation process to adhere to human preferences; A case of work equipment risk assessment

2021

Making structured and reliable decisions on relevant business problems often requires expert assistance. In decision making practice, experts are frequently required to pairwise compare elements to support the decision made. This paper proposes a user-friendly negotiation procedure to establish an effective feedback relation with experts to globally increase the consistency of their pairwise comparisons judgments, where necessary. To this aim, we develop a flexible tool, which makes use of an algebraic consistency-improving algorithm and a sensitivity analysis technique to identify which judgments contribute most to inconsistency. The framework pursues friendliness for the involved decision…

Feedback relationsWork equipment managementPairwise comparisonsDecision-makingRisk assessment
researchProduct

Do laboratory exposures represent field exposures? Effects of sediments contaminated by wood industry on yolk-sac fry of rainbow trout (Oncorhynchus …

2015

Purpose. Risk assessment of contaminated sediments is routinely based on laboratory exposures. The purpose of this work was to study if sediments contaminated by the chemical wood industry cause developmental defects in fish fry and how well a laboratory exposure correlates with a field exposure. Materials and methods. Newly hatched yolk-sac fry of rainbow trout (Oncorhynchus mykiss) were exposed in the laboratory and in situ. In the laboratory, the fish were placed in contact with either clean or contaminated sediment in aquaria. In the field, half of the fish were placed in contact with the lake sediment and the other half were similarly caged 2 m above it, to discern the effects of the s…

Field exposurefood.ingredientStratigraphyDevelopmental toxicitySedimentContaminationLaboratory-field comparisonToxicologyDevelopmental toxicityfoodmedicine.anatomical_structureAnimal scienceEarly-life stageSediment toxicityYolkembryonic structuresmedicineEnvironmental scienceRainbow troutPulp and paper millsYolk sacEcological risk assessmentEffluentEarth-Surface Processes
researchProduct

Emergence of Statistically Validated Financial Intraday Lead-Lag Relationships

2014

According to the leading models in modern finance, the presence of intraday lead-lag relationships between financial assets is negligible in efficient markets. With the advance of technology, however, markets have become more sophisticated. To determine whether this has resulted in an improved market efficiency, we investigate whether statistically significant lagged correlation relationships exist in financial markets. We introduce a numerical method to statistically validate links in correlation-based networks, and employ our method to study lagged correlation networks of equity returns in financial markets. Crucially, our statistical validation of lead-lag relationships accounts for mult…

FinanceCorrelationMultivariate analysisbusiness.industryMultiple comparisons problemFinancial marketEquity (finance)EconomicsSample (statistics)businessTransaction dataStock (geology)SSRN Electronic Journal
researchProduct