Search results for "RTAI"

showing 10 items of 1960 documents

An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

2020

Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…

FOS: Computer and information sciencesStatistics and ProbabilityTime FactorsOccupancyCoronavirus disease 2019 (COVID-19)Computer science01 natural sciencesGeneralized linear mixed modelSARS‐CoV‐2law.inventionclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensembleMethodology (stat.ME)panel data010104 statistics & probability03 medical and health sciences0302 clinical medicinelawCOVID‐19Intensive careEconometricsHumansclustered data030212 general & internal medicine0101 mathematicsPandemicsStatistics - MethodologySARS-CoV-2Reproducibility of ResultsCOVID-19General Medicineweighted ensembleIntensive care unitResearch PapersTerm (time)integer autoregressiveIntensive Care UnitsAutoregressive modelItalyNonlinear Dynamicsgeneralized linear mixed modelinteger autoregressive modelclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensemble; COVID-19; Humans; Intensive Care Units; Italy; Nonlinear Dynamics; Pandemics; Reproducibility of Results; Time Factors; ForecastingStatistics Probability and UncertaintySettore SECS-S/01Settore SECS-S/01 - StatisticaPanel dataResearch PaperForecasting
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KFAS : Exponential Family State Space Models in R

2017

State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes an R package KFAS for state space modelling with the observations from an exponential family, namely Gaussian, Poisson, binomial, negative binomial and gamma distributions. After introducing the basic theory behind Gaussian and non-Gaussian state space models, an illustrative example of Poisson time series forecasting is provided. Finally, a comparison to alternative R packages suitable for non-Gaussian time series modelling is presented.

FOS: Computer and information sciencesStatistics and ProbabilityaikasarjatGaussianNegative binomial distributionforecastingPoisson distribution01 natural sciencesStatistics - ComputationMethodology (stat.ME)010104 statistics & probability03 medical and health sciencessymbols.namesake0302 clinical medicineExponential familyexponential familyGamma distributionStatistical inferenceState spaceApplied mathematicsSannolikhetsteori och statistik030212 general & internal medicine0101 mathematicsProbability Theory and Statisticslcsh:Statisticslcsh:HA1-4737Computation (stat.CO)Statistics - MethodologyMathematicsR; exponential family; state space models; time series; forecasting; dynamic linear modelsta112state space modelsSeries (mathematics)RStatistics; Computer softwaresymbolsStatistics Probability and Uncertaintytime seriesSoftwaredynamic linear models
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Community characterization of heterogeneous complex systems

2011

We introduce an analytical statistical method to characterize the communities detected in heterogeneous complex systems. By posing a suitable null hypothesis, our method makes use of the hypergeometric distribution to assess the probability that a given property is over-expressed in the elements of a community with respect to all the elements of the investigated set. We apply our method to two specific complex networks, namely a network of world movies and a network of physics preprints. The characterization of the elements and of the communities is done in terms of languages and countries for the movie network and of journals and subject categories for papers. We find that our method is ab…

FOS: Computer and information sciencesStatistics and Probabilityrandom graphs networks statistical inference socio-economic networksPhysics - Physics and SocietyTheoretical computer scienceProperty (programming)Complex systemFOS: Physical sciencesPhysics and Society (physics.soc-ph)socio-economic networksStatistical inferenceSocial and Information Networks (cs.SI)Random graphComputer Science - Social and Information NetworksStatistical and Nonlinear PhysicsProbability and statisticsComplex networkSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hypergeometric distributionPhysics - Data Analysis Statistics and ProbabilitynetworkStatistics Probability and UncertaintyNull hypothesisData Analysis Statistics and Probability (physics.data-an)random graphstatistical inferenceJournal of Statistical Mechanics: Theory and Experiment
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A Unified SVM Framework for Signal Estimation

2013

This paper presents a unified framework to tackle estimation problems in Digital Signal Processing (DSP) using Support Vector Machines (SVMs). The use of SVMs in estimation problems has been traditionally limited to its mere use as a black-box model. Noting such limitations in the literature, we take advantage of several properties of Mercer's kernels and functional analysis to develop a family of SVM methods for estimation in DSP. Three types of signal model equations are analyzed. First, when a specific time-signal structure is assumed to model the underlying system that generated the data, the linear signal model (so called Primal Signal Model formulation) is first stated and analyzed. T…

FOS: Computer and information sciencesbusiness.industryNoise (signal processing)Computer scienceApplied MathematicsSpectral density estimationArray processingPattern recognitionMachine Learning (stat.ML)Statistics - ApplicationsSupport vector machineKernel (linear algebra)Kernel methodComputational Theory and MathematicsStatistics - Machine LearningArtificial IntelligenceSignal ProcessingApplications (stat.AP)Computer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringStatistics Probability and UncertaintybusinessDigital signal processingReproducing kernel Hilbert space
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EHeBby: An evocative humorist chat-bot

2008

A conversational agent, capable to have a "sense of humor" is presented. The agent can both generate humorous sentences and recognize humoristic expressions introduced by the user during the dialogue. EHeBby is an entertainment oriented conversational agent implemented using the ALICE framework embedded into an Yahoo! Messenger client. It is characterized by two areas: a rational, rule-based area and an evocative area. The first one is based on well founded techniques of computational humor and a standard AIML KB. The second one is based on a conceptual space, automatically induced by a corpus of funny documents, where KB items and user sentences are mapped. This area emulates an associativ…

Facial expressionComputer Networks and CommunicationsComputer sciencebusiness.industryComputational humorTK5101-6720AIMLcomputer.software_genreconversational agent computational humor conceptual spaceComputer Science ApplicationsEntertainmentHuman–computer interactionTelecommunicationArtificial intelligenceDialog systemAlice (programming language)businesscomputerAssociative propertyNatural language processingcomputer.programming_languageAvatar
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Jaspers’ Concept of Philosophical Faith: A New Synthesis?

2011

Philosophy begins where science ends. Philosophy has ceased to be a science. It is a source of its own. The limits of science make obvious that faith belongs to being human. Faith is either religious or philosophical. Faith is a main phenomenon of being human. It consists in the simple fact that persons have ultimate convictions. Philosophical faith is existential faith. Its certainty is tied to the individual. Philosophical faith cannot be achieved without personal effort, without acts of actual freedom, and without realizations of Existenz. Jaspers’ concept of philosophical faith turns out to be a new synthesis of historical conditions and philosophical requirements.

FaithPhilosophical thinkingPhenomenonmedia_common.quotation_subjectPhilosophyCertaintyRational beliefExistentialismEpistemologymedia_commonSimple fact
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Epistemic uncertainty in fault tree analysis approached by the evidence theory

2012

Abstract Process plants may be subjected to dangerous events. Different methodologies are nowadays employed to identify failure events, that can lead to severe accidents, and to assess the relative probability of occurrence. As for rare events reliability data are generally poor, leading to a partial or incomplete knowledge of the process, the classical probabilistic approach can not be successfully used. Such an uncertainty, called epistemic uncertainty, can be treated by means of different methodologies, alternative to the probabilistic one. In this work, the Evidence Theory or Dempster–Shafer theory (DST) is proposed to deal with this kind of uncertainty. In particular, the classical Fau…

Fault tree analysisEpistemic uncertaintyGeneral Chemical EngineeringProbabilistic logicEnergy Engineering and Power TechnologyInterval (mathematics)Management Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringFTARisk analysiEvidence theoryControl and Systems EngineeringSettore ING-IND/17 - Impianti Industriali MeccaniciRare eventsSensitivity analysisData miningUncertainty quantificationSafety Risk Reliability and QualitycomputerUncertainty analysisFood ScienceEvent (probability theory)Mathematics
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Paedeia café nuorten opettajien silmin: käsityksiä opettajaopiskelijoiden ja opettajien yhteisestä vertaisryhmämentoroinnista

2016

Hakari, Henni & Mantere Viivi. 2016. Paedeia Café nuorten opettajien silmin – käsityksiä opettajaopiskelijoiden ja opettajien yhteisestä vertaisryhmämentoroinnista. Kasvatustieteen pro gradu -tutkielma. Jyväskylän yliopisto. Opettajankoulutuslaitos. 68 sivua. Paedeia Cafe on uusi vertaisryhmämentoroinnin muoto ja osa Euroopassa toteutettavaa PAEDEIA-hanketta. Paedeia Cafén tavoitteena on tuoda opettajankoulutus ja työelämä lähemmäksi toisiaan ja näin tarjota tukea opettajille työuran alkuvaiheeseen. Tutkimuskohteena oli Paedeia Café -ryhmiin osallistuvat nuoret opettajat. Tutkimuksen tarkoituksena oli selvittää, millaisia käsityksiä näillä nuorilla opettajilla on ryhmän toiminnasta ja milla…

FenomenografiaPaedeia cafémentorointiopettajatvertaisryhmät
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Kolmiportainen tuki - säästöä inkluusion varjolla? : luokanopettajien käsityksiä lakimuutoksen 642/2010 vaikutuksista oppilaiden saamaan tukeen ja op…

2014

Tuomioja, P. Kolmiportainen tuki- säästöä inkluusion varjolla. Luokanopettaji-en käsityksiä lakimuutoksen 642/2010 vaikutuksista oppilaiden saamaan tukeen ja opettajien työhön. Jyväskylän yliopisto. Kokkolan yliopistokeskus Chydenius. Kasvatustieteen pro gradu – tutkielma. 81 s. Kolmiportainen tuki muutti kouluissa oppilaille annettavan oppimisen, kasvun ja koulunkäynnin tuen muotoja olennaisesti vuoden 2011 alusta, jolloin laki perusopetuslain muutoksesta astui voimaan. Tämän tutkimuksen tavoitteena on selvittää, millaisena opetushenkilökunta näkee kolmiportaisen tuen hengen ja sen toteutumisen käytännössä. Tämän tutkimuksen aineisto on peräisin Opetusalan Ammattijärjestön (OAJ) teettämäst…

Fenomenografiaerityisopetuskolmiportainen tukikouluopettajatopetusoppilaatinkluusiooppivelvollisuus
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Luokanopettajien käsitykset kolmiportaisesta tuesta ja työssä jaksamisesta

2015

Tämän tutkimuksen tarkoituksena on selvittää, miten luokanopettajat kokevat roolinsa kolmiportaisessa tuessa, miten he ovat omaksuneet kolmiportaisen tukimallin käytännössä sekä millaisia käsityksiä luokanopettajilla on omasta työssä jaksamisesta, kun luokassa on tukea tarvitsevia oppilaita. Tutkimuksen aineisto kerättiin puolistrukturoidulla teemahaastattelulla. Haastattelut toteutettiin syksyllä 2013 haastattelemalla kahden eri eteläsuomalaisen alakoulun luokanopettajia (n=6). Tutkimuksessa käytettiin fenomenografista tutkimusotetta. Fenomenografia on aineistolähtöinen menetelmä, jossa kuvauskategoriat syntyvät aineiston pohjalta eivätkä teoriasta käsin. Luokanopettajien käsitykset kolmip…

Fenomenografiatyöhyvinvointikolmiportainen tukijaksaminenopettajattyönkuva
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