Search results for "400"

showing 10 items of 1272 documents

How to Bootstrap a Language Workbench

2019

Programming languageComputer sciencecomputer.software_genrecomputerLanguage workbenchVDP::Mathematics and natural science: 400Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development
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On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton

2013

Published version of a chapter in the book: Recent Trends in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-38577-3_27 There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge to the optimal action with an arbitrarily large probability, if the learning parameter is sufficiently small/large. Of these LA families, Estimator Algorithms (EAs) are certainly the fastest, and within this family, the set of Pursuit algorithms have been considered to be the pioneering schemes. The…

Property (philosophy)Learning automataComputer scienceVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Structure (category theory)Monotonic functionMathematical proofAutomatonArbitrarily largeε-optimalityContinuous Pursuit AlgorithmCalculuspursuit algorithmsAlgorithmVariable (mathematics)
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A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

2019

Author's accepted version (post-print). © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Available from 20/03/2021. This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis for which there are, probabl…

Property (philosophy)Learning automataDiscretizationMarkov chainComputer Networks and CommunicationsComputer scienceMarkov processMonotonic function02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Computer Science ApplicationsAutomatonsymbols.namesakeArtificial Intelligence0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingMathematical economicsSoftwareIEEE Transactions on Neural Networks and Learning Systems
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Short form of revised two-factor study process questionnaire: Development, validation, and cross-validation in two European countries

2022

Psychometric propertiesExploratory factor analysisSettore M-PSI/06 - Psicologia del Lavoro e delle OrganizzazioniApproaches to learning; Psychometric properties; Exploratory factor analysis; Confirmatory factor analysis; Measurement invariance;Approaches to learningVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410VDP::Samfunnsvitenskap: 200::Pedagogiske fag: 280Confirmatory factor analysisMeasurement invarianceEducationStudies in Educational Evaluation
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A diversity of patterns: 10-year trajectories of men and women diagnosed with psychosis for the first time. A time-geographic approach

2020

People with severe mental illness face a different interventional landscape compared to some decades ago, when mental hospitals were dominant, in Sweden as well as in the rest of the Western world. The aim of the research reported in this article was to follow men and women diagnosed with psychosis for the first time over a 10-year period, and to explore what interventions they experienced. The interventions, here defined as "spheres", were either community-based or institutional. A third sphere represents no interventions. Based on data from registers and using a time-geographic approach, the individuals were visualised as 10-year trajectories where their transitions between the different …

Psychosismedia_common.quotation_subjecttime-geographytrajectories; psychosis; interventions/no interventions; time-geography; visualisation; gender; SwedenGeography Planning and Developmentlcsh:G1-92203 medical and health sciencesvisualisation0302 clinical medicinemedicinegendertrajectories030212 general & internal medicinepsychosismedia_commoninterventions/no interventionsswedenPublic Health Global Health Social Medicine and EpidemiologyVDP::Matematikk og Naturvitenskap: 400medicine.disease030227 psychiatryFolkhälsovetenskap global hälsa socialmedicin och epidemiologiGeneral Earth and Planetary SciencesPsychologylcsh:Geography (General)DemographyDiversity (politics)
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Exploring Students’ Metacognitive Knowledge: The Case of Integral Calculus

2020

Previous studies of integral calculus have mainly explored students&rsquo

Public AdministrationInterviewMetacognitionPhysical Therapy Sports Therapy and Rehabilitation050105 experimental psychologyEducationmetacognitive knowledgeTaxonomy (general)Fundamental theorem of calculusintegral calculusDevelopmental and Educational PsychologyComputer Science (miscellaneous)Mathematics educationComputingMilieux_COMPUTERSANDEDUCATION0501 psychology and cognitive sciencesMathematics instructionfundamental theorem of calculusKnowledge level05 social sciences050301 educationProcedural knowledgeVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Computer Science ApplicationsIntegral calculusintegral-area relationshipTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESmonitoring strategiesTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSPsychologylcsh:L0503 educationlcsh:EducationEducation Sciences
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A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing

2019

Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption of user equipment (UE). However, the task of selecting an optimal set of components to offload considering the amount of data transfer as well as the latency in communication is a complex problem. In this paper, we propose a novel energy-efficient deep learning based offloading scheme (EEDOS) to train a deep learning based smart decision-making algorithm that selects an optimal set of application components based on remaining energy of UEs, energy consumption by applicati…

QA75General Computer ScienceComputer scienceDistributed computingenergy efficient offloading02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 42001 natural sciencesuser equipmentComputational offloadingServer0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Mobile edge computingbusiness.industryDeep learning010401 analytical chemistryGeneral Engineeringdeep learning020206 networking & telecommunicationsEnergy consumption0104 chemical sciencesUser equipmentArtificial intelligencemobile edge computinglcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971Efficient energy useIEEE Access
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The era of reference genomes in conservation genomics

2022

Progress in genome sequencing now enables the large-scale generation of reference genomes. Various international initiatives aim to generate reference genomes representing global biodiversity. These genomes provide unique insights into genomic diversity and architecture, thereby enabling comprehensive analyses of population and functional genomics, and are expected to revolutionize conservation genomics.

QH301 Biology580 Plants (Botany)Genetics -- ResearchEvolutionsbiologibiodiversity conservation; conservation genetics; ERGA; European Reference Genome AtlasConservation genetics; Biodiversity conservation; European Reference Genome Atlas; ERGAAnimal genome mappingudc:630*1GenomeGEERGA[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDE.BE.BIOD]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.biodERGA ; Biodiversity [MeSH] ; Genomics [MeSH] ; Ecology Evolution Behavior and Systematics ; conservation genetics ; Genome [MeSH] ; biodiversity conservation ; European Reference Genome Atlas3rd-DASGenomicsBiodiversityreferenčni genomi[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDE.BE.BEC]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.becChemistry10121 Department of Systematic and Evolutionary BotanygenomikaGE Environmental Sciences:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]biodiverzitetaSettore BIO/18 - GENETICAeducationQH426 GeneticsQH301European Reference Genome AtlasVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470[SDE.BE.EVO]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.evoGeneticsconservation genetics ; biodiversity conservation ; European Reference Genome Atlas ; ERGAgenomi10211 Zurich-Basel Plant Science CenterGenomesGenetikBiologyQH426Ecology Evolution Behavior and SystematicsEvolutionary BiologyBiodiversity conservation; Conservation genetics; European Reference Genome AtlasAmbientaleEcologíaGenética1105 Ecology Evolution Behavior and Systematicsconservation geneticsWildlife conservation570 Life sciences; biologyHuman medicinebiodiversity conservationAnimal genetics[SDE.BE]Environmental Sciences/Biodiversity and EcologyGenètica
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Heavy quark diffusion in an overoccupied gluon plasma

2020

We extract the heavy-quark diffusion coefficient \kappa and the resulting momentum broadening in a far-from-equilibrium non-Abelian plasma. We find several features in the time dependence of the momentum broadening: a short initial rapid growth of , followed by linear growth with time due to Langevin-type dynamics and damped oscillations around this growth at the plasmon frequency. We show that these novel oscillations are not easily explained using perturbative techniques but result from an excess of gluons at low momenta. These oscillation are therefore a gauge invariant confirmation of the infrared enhancement we had previously observed in gauge-fixed correlation functions. We argue that…

QuarkNuclear and High Energy PhysicsNuclear Theorynucl-thhep-latFOS: Physical sciencesLattice QCDhiukkasfysiikka01 natural sciences114 Physical sciencesNuclear Theory (nucl-th)High Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)fysikk0103 physical sciencesHeavy Quark Physicslcsh:Nuclear and particle physics. Atomic energy. Radioactivity010306 general physicsPlasmonParticle Physics - PhenomenologyPhysics:Matematikk og Naturvitenskap: 400::Fysikk: 430 [VDP]010308 nuclear & particles physicsOscillationComputer Science::Information RetrievalHigh Energy Physics - Lattice (hep-lat)Particle Physics - Latticehep-phLattice QCDPlasmaInvariant (physics)GluonHigh Energy Physics - PhenomenologyQuantum electrodynamicsNuclear Physics - TheoryQuark–gluon plasmaQuark-Gluon Plasmalcsh:QC770-798
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3D modul for syntetisk kalkulator

2006

Masteroppgave i informasjons- og kommunikasjonsteknologi 2006 - Høgskolen i Agder, Grimstad ActionScript er et språk som har blitt benyttet mer og mer de senere årene og er en del av verktøyet Flash. Dette er et design verktøy som har gode metoder for animasjoner i 2D og genererer små filer som gjør det svært egnet for internett. Denne rapporten ser på mulighetene for å generere, håndtere og visualisere tredimensjonale objekter i Flash ved bruk av ActionScript. Det blir diskutert roteringsmatriser opp mot Quaternion rotasjon og isometrisk projeksjon opp mot perspektivisk projeksjon i forhold til 3D objekter. Rapporten tar for seg ulike kurver og flater og hvilke begrensninger ActionScript h…

QuaternionIKT590FlaterActionScriptVDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 4293DVDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Systemutvikling og -arbeid: 426
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