Search results for " Probability"

showing 10 items of 2176 documents

Comparing fMRI inter-subject correlations between groups using permutation tests

2018

AbstractInter-subject correlation (ISC) based analysis is a conceptually simple approach to analyze functional magnetic resonance imaging (fMRI) data acquired under naturalistic stimuli such as a movie. We describe and validate the statistical approaches for comparing ISCs between two groups of subjects implemented in the ISC toolbox, which is an open source software package for ISC-based analysis of fMRI data. The approaches are based on permutation tests. We validated the approaches using five different data sets from the ICBM functional reference battery tasks. First, we created five null datasets (one for each task) by dividing the subjects into two matched groups and assumed that no gr…

Studentized rangemedicine.diagnostic_testComputer sciencebusiness.industryPoolingPattern recognitioncomputer.software_genre01 natural sciences010104 statistics & probability03 medical and health sciencesPermutation0302 clinical medicineVoxelmedicineArtificial intelligence0101 mathematicsFunctional magnetic resonance imagingbusinesscomputer030217 neurology & neurosurgery
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THE GROUP OF AUTOMORPHISMS OF THE SEMIGROUP OF ENDOMORPHISMS OF FREE COMMUTATIVE AND FREE ASSOCIATIVE ALGEBRAS

2007

Let W(X) be a free commutative or a free associative algebra. The group of automorphisms of the semigroup End (W(X)) is studied.

Symmetric algebraDiscrete mathematicsPure mathematicsIncidence algebraSemigroupGeneral MathematicsFree algebraSubalgebraAssociative algebraFree objectFree probabilityMathematicsInternational Journal of Algebra and Computation
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Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

2019

The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to unreliable yield predictions. Synthetic Aperture Radar (SAR) provides all-weather imagery which can potentially overcome this limitation, but given its high and distinct sensitivity to different surface properties, the fusion of SAR and optical data still remains an open challenge. In this work, we propose the use of Multi-Output Gaussian Process (MOGP) regression, a machine learning technique that learns automatically the statistical relationships among…

Synthetic aperture radarFOS: Computer and information sciencesComputer Science - Machine LearningTeledetecció010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologySoil ScienceFOS: Physical sciencesMachine Learning (stat.ML)02 engineering and technology01 natural sciencesArticlelaw.inventionMachine Learning (cs.LG)symbols.namesakelawStatistics - Machine LearningFOS: Electrical engineering electronic engineering information engineeringComputers in Earth SciencesRadarLeaf area indexCluster analysisGaussian process0105 earth and related environmental sciencesRemote sensingMathematicsImage and Video Processing (eess.IV)Processos estocàsticsGeologyElectrical Engineering and Systems Science - Image and Video ProcessingSensor fusionRegression020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsData Analysis Statistics and Probability (physics.data-an)Imatges Processament
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Bridging probability and calculus: the case of continuous distributions and integrals at the secondary-tertiary transition

2018

International audience; This paper focuses on two mathematical topics, namely continuous probability distributions (CPD) and integral calculus (IC). These two sectors that are linked by the formula P(a<=X<=b)=int_a^b f(x)dx are quite compartmented in teaching classes in France. The main objective is to study whether French students can mobilize the sector of IC to solve tasks in CPD and vice versa at the transition from high school to higher education. Applying the theoretical framework of the Anthropological Theory of the Didactic (ATD), we describe a reference epistemological model (REM) and use it to elaborate a questionnaire in order to test the capacity of students to bridge CPD and IC…

Teaching and learning of probabilityHistory and Overview (math.HO)Teaching and learning of analysis and calculus[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO]Mathematics - History and OverviewFOS: MathematicsAnthropological Theory of the DidacticTransition to and across university mathematics
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Collaborative Musical Creativity between Students and Adults: The Sonorous Paella

2021

While creativity is a key element of contemporary curriculum frameworks around the world, it is still insufficiently fostered in formal education settings. This study analyzes a project for collaborative musical creativity, entitled The Sonorous Paella. Participants (N = 12) were eight Year 4 secondary students, two professional musicians, an artist-in-residence, and a music teacher. Drawing on a graphic musical score, the participants worked together for 1.5 months to produce a group composition and performance. They were provided with various sound producers (instruments, everyday objects, technological devices) and were encouraged to flexibly utilize the physical space to maximize collab…

Tecnologia educativaMusical creativityCollaborative musical creativityVisual Arts and Performing ArtsSocial PsychologySecondary educationEducationVisual artsCiència EnsenyamentGraphic scoresArts and Humanities (miscellaneous)Music teacher educationStatistics Probability and UncertaintyEducacióPsychologyMusic technologyMúsica Ensenyament
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Event generation and statistical sampling for physics with deep generative models and a density information buffer

2021

Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford. Here, we explore ways to a solution for this problem by investigating recent advances in generative modeling and present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physical events, but to also ensure that these events occur with the correct frequencies. We investigate the feasibility of learning the event generation and the frequency of occurrence with several generative machine learning models to produce events l…

Test data generationScienceMonte Carlo methodGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesCharacterization and analytical techniquesGeneral Biochemistry Genetics and Molecular BiologyArticleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesInformation theory and computationHigh Energy Physics010306 general physicsMultidisciplinary010308 nuclear & particles physicsEvent (computing)QStatisticsData ScienceSampling (statistics)General ChemistryDensity estimationAutoencoderHigh Energy Physics - PhenomenologyPhysics - Data Analysis Statistics and ProbabilityExperimental High Energy PhysicsAnomaly detectionAlgorithmImportance samplingData Analysis Statistics and Probability (physics.data-an)
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Information dynamics: Temporal behavior of uncertainty measures

2008

We carry out a systematic study of uncertainty measures that are generic to dynamical processes of varied origins, provided they induce suitable continuous probability distributions. The major technical tool are the information theory methods and inequalities satisfied by Fisher and Shannon information measures. We focus on a compatibility of these inequalities with the prescribed (deterministic, random or quantum) temporal behavior of pertinent probability densities.

Theoretical computer science03.65.taComputer sciencesmoluchowski processesQC1-999General Physics and AstronomyFOS: Physical sciencesschrödinger picture evolutionInformation theory05.40.jcfisher informationshannon entropyinformation functionalsQuantumCondensed Matter - Statistical MechanicsMathematical Physicsentropy methodsdynamics of probability densitiesQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)02.50.eyPhysicsMathematical Physics (math-ph)information theoretic inequalitiesCompatibility (mechanics)Probability distributionInformation dynamicsQuantum Physics (quant-ph)
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A model of adaptive decision-making from representation of information environment by quantum fields

2017

We present the mathematical model of decision making (DM) of agents acting in a complex and uncertain environment (combining huge variety of economical, financial, behavioral, and geo-political factors). To describe interaction of agents with it, we apply the formalism of quantum field theory (QTF). Quantum fields are of the purely informational nature. The QFT-model can be treated as a far relative of the expected utility theory, where the role of utility is played by adaptivity to an environment (bath). However, this sort of utility-adaptivity cannot be represented simply as a numerical function. The operator representation in Hilbert space is used and adaptivity is described as in quantu…

Theoretical computer scienceComputer scienceGeneral MathematicsQuantum dynamicsLadderFOS: Physical sciencesGeneral Physics and AstronomyNumber operatorBayesian inference01 natural sciences050105 experimental psychology010305 fluids & plasmasPhysics and Astronomy (all)symbols.namesakeEngineering (all)0103 physical sciencesMathematics (all)0501 psychology and cognitive sciencesQuantum field theoryQuantumMathematical PhysicsGame theoryExpected utility hypothesis05 social sciencesGeneral EngineeringLaw of total probabilityHilbert spaceMathematical Physics (math-ph)ArticlesQuantum BayesianismsymbolsDecision-makingPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Statistical analysis of RaptorQ failure probability applied to a data recovery software

2014

In this work, we have implemented a data recovery software integrating the most recent rateless codes, i.e., RaptorQ codes. Thanks to the above-mentioned software, it is possible to recover data loss occurring on several kinds of network conditions. We have performed a statistical analysis of failure probabilities at several configurations of RaptorQ parameters. We have found a good agreement with the theoretical values of a random linear fountain code over Galois Field GF(256). Moreover, we have shown that the probability of having a certain number of failed decoded source blocks - when sending a fixed size file - follows a Poisson distribution.

Theoretical computer scienceRaptorQ codeComputer sciencebusiness.industrySettore ING-INF/03 - TelecomunicazioniFailure probabilitySettore ING-INF/01 - ElettronicaReliability engineeringData recoverySoftwarefailure probabilitystatistical analysiStatistical analysisrateless codebusiness
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Conjunction, Disjunction and Iterated Conditioning of Conditional Events

2013

Starting from a recent paper by S. Kaufmann, we introduce a notion of conjunction of two conditional events and then we analyze it in the setting of coherence. We give a representation of the conjoined conditional and we show that this new object is a conditional random quantity, whose set of possible values normally contains the probabilities assessed for the two conditional events. We examine some cases of logical dependencies, where the conjunction is a conditional event; moreover, we give the lower and upper bounds on the conjunction. We also examine an apparent paradox concerning stochastic independence which can actually be explained in terms of uncorrelation. We briefly introduce the…

Theoretical computer scienceSettore MAT/06 - Probabilita' E Statistica MatematicaComputer scienceProbabilistic logicCoherence (philosophical gambling strategy)Conditional events conditional random quantities conjunction disjunction iterated conditionalsConjunction (grammar)Set (abstract data type)Regular conditional probabilitydisjunction; conditional events; conjunction; conditional random quantities; iterated conditionals.Iterated functionRepresentation (mathematics)Settore SECS-S/01 - StatisticaMathematical economicsEvent (probability theory)
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