Search results for "pää"

showing 10 items of 880 documents

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

2021

Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete graphical criteria and procedures exist for many identification problems, there are still challenging but important extensions that have not been considered in the literature. To tackle these new settings, we present a search algorithm directly over the rules of do-calculus. Due to generality of do-calculus, the search is capable of taking more advanced data-generating mechanisms into account along with an arbitrary type of both observational and…

FOS: Computer and information sciencesStatistics and ProbabilityComputer Science - Machine LearningcausalityComputer Science - Artificial IntelligenceHeuristic (computer science)Computer scienceeducationMachine Learning (stat.ML)transportabilitycomputer.software_genre01 natural sciencesMachine Learning (cs.LG)R-kielimissing dataQA76.75-76.765; QA273-280010104 statistics & probabilitydo-calculuscausality; do-calculus; selection bias; transportability; missing data; case-control design; meta-analysisStatistics - Machine LearningSearch algorithmselection bias0101 mathematicsParametric statisticspäättelymeta-analyysicase-control designhakualgoritmit113 Computer and information sciencesMissing datameta-analysisIdentification (information)Artificial Intelligence (cs.AI)Causal inferencekausaliteettiIdentifiabilityProbability distributionData miningStatistics Probability and UncertaintycomputerSoftwareJournal of Statistical Software
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Surrogate outcomes and transportability

2019

Identification of causal effects is one of the most fundamental tasks of causal inference. We consider an identifiability problem where some experimental and observational data are available but neither data alone is sufficient for the identification of the causal effect of interest. Instead of the outcome of interest, surrogate outcomes are measured in the experiments. This problem is a generalization of identifiability using surrogate experiments and we label it as surrogate outcome identifiability. We show that the concept of transportability provides a sufficient criteria for determining surrogate outcome identifiability for a large class of queries.

FOS: Computer and information scienceskokeilucausalityGeneralizationComputer scienceComputer Science - Artificial Intelligence02 engineering and technologyMachine learningcomputer.software_genreOutcome (game theory)Theoretical Computer ScienceMethodology (stat.ME)do-calculusArtificial Intelligence020204 information systemsalgoritmit0202 electrical engineering electronic engineering information engineeringStatistics - Methodologyta113päättelyta112experimentbusiness.industrySurrogate endpointverkkoteoriaApplied MathematicsCausal effectta111graphidentifiabilityIdentification (information)Artificial Intelligence (cs.AI)Causal inferencekausaliteettiIdentifiability020201 artificial intelligence & image processingObservational studyArtificial intelligencebusinessmediatorcomputerSoftware
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Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

2021

Common reporting styles for statistical results in scientific articles, such as $p$ p -values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework. For example when the $p$ p -value is small enough or the CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute differences in the effect sizes. This type of reasoning has been shown to be potentially harmful to science. Techniques relying on the visual estimation of the strength of evidence have been recom…

FOS: Computer and information sciencesvisualisointiBayesian inferencetilastomenetelmätComputer Science - Human-Computer Interactiontulkinta02 engineering and technologyBayesian inferenceluottamustasotHuman-Computer Interaction (cs.HC)cliff effectData visualizationhypothesis testing0202 electrical engineering electronic engineering information engineeringStatistical inferencevisualizationconfidence intervalsStatistical hypothesis testingpäättelybusiness.industrybayesilainen menetelmäOther Statistics (stat.OT)Multilevel model020207 software engineeringtilastografiikkaComputer Graphics and Computer-Aided DesignConfidence intervalStatistics - Other StatisticsSignal ProcessingComputer Vision and Pattern RecognitionbusinessPsychologyNull hypothesisValue (mathematics)SoftwareCognitive psychologystatistical inference
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The Influence of Facebook Discussions on Purchase Intention and Word of Mouth

2022

This chapter examines the influence of online consumer discussions on Facebook on purchase intention and word of mouth (WOM). Specifically, it attempts to determine whether Facebook discussions are perceived as credible and how these discussions are linked with behavioural intentions. The first part of this chapter presents a research model linking seven constructs. In the second part, we tested the research model and hypotheses with a sample of 151 consumers from one Facebook group for children’s shoe recommendations. Of the seven hypotheses tested, we found support for six. This chapter concludes by discussing the contributions of the study to both theory and practice, outlining the main …

Facebookverkkokeskustelukuluttajatsosiaalinen mediakuluttajakäyttäytyminenostopäätökset
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Kohti sosiaalista pääomaa : toimintatutkimus yhteisöllisen toimintakulttuurin kehittämisprosessista

2013

Tiivistelmä. Hautala, Paula. 2013. Kohti sosiaalista pääomaa. Toimintatutkimus yhteisöllisen toimintakulttuurin kehittämisprosessista. Varhaiskasvatustieteen pro gradu –tutkielma. Kasvatustieteiden laitos. Jyväskylän yliopisto. 95 sivua + liitteet. Nopeasti muuttuva työelämä asettaa uudenlaisia haasteita työntekijöiden osaamiselle. Yhteiskunnan muutokset ajavat organisaatiot tekemään ratkaisuja, joissa korostuu resurssien sijaan yhä enemmän yhteisöllinen oppiminen, niin myös varhaiskasvatuksen työtehtävissä. Päiväkodeissa muutoksia on lähdetty ratkaisemaan rakenne- ja toiminta-ympäristömuutoksilla. Yhteisöjen kyky vuorovaikutukselliseen oppimiseen edistää työntekijän hyvinvointia, mikä puol…

FenomenografiapäiväkodittoimintakulttuuriToimintatutkimusyhteisöllisyyskehittämisprosessityössäoppimineninhimillinen pääomahenkinen pääomakehittäminensosiaalinen pääomatyössä oppiminen
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To Calculate or To Follow Others : How Do Information Security Managers Make Investment Decisions?

2019

Economic models of information security investment suggest estimating cost and benefit to make an information security investment decision. However, the intangible nature of information security investment prevents managers from applying costbenefit analysis in practice. Instead, information security managers may follow experts’ recommendations or the practices of other organizations. The present paper examines factors that influence information security managers’ investment decisions from the reputational herding perspective. The study was conducted using survey questionnaire data collected from 106 organizations in Finland. The findings of the study reveal that the ability and reputation …

FinanceInternetbusiness.industryuusi talouspäätöksentekotietoturvapolitiikkaInformation securitysecuritydecision-makinginformation systemsdigital economyherding strategyInvestment decisionsyksityisyysinformation security investmentsBusinesstietoturvatietojärjestelmät
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Stochastic multicriteria evaluation of district heating systems considering the uncertainties

2018

It is of great importance to choose a suitable district heating (DH) system for a specific DH area from the economics, environment and energy (3E) points of view. This is a multicriteria decision making problem, in which the criteria performance values (PVs) and weighting are characterized by uncertain or imprecise information. In this study, seven candidate DH systems are evaluated from the viewpoints of 3E by the stochastic multicriteria acceptability analysis (SMAA) method. SMAA is able to handle the uncertainties of the criteria PVs and the weighting at the same time. These uncertainties are very common and typical in real-life, but in most cases are not treated judiciously or just negl…

Fluid Flow and Transfer ProcessesMulticriteria decisionta212021103 operations researchEnvironmental Engineeringta214Operations researchComputer sciencekaukolämmitys020209 energystokastinen monikriteerinen arvostusanalyysi0211 other engineering and technologies02 engineering and technologyBuilding and Constructionepävarmuus0202 electrical engineering electronic engineering information engineeringuncertaintyta512stochastic multicriteria evaluationEnergy (signal processing)päätösteoriadistrict heatingScience and Technology for the Built Environment
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Robustness, Stability, and Fidelity of Explanations for a Deep Skin Cancer Classification Model

2022

Skin cancer is one of the most prevalent of all cancers. Because of its being widespread and externally observable, there is a potential that machine learning models integrated into artificial intelligence systems will allow self-screening and automatic analysis in the future. Especially, the recent success of various deep machine learning models shows promise that, in the future, patients could self-analyse their external signs of skin cancer by uploading pictures of these signs to an artificial intelligence system, which runs such a deep learning model and returns the classification results. However, both patients and dermatologists, who might use such a system to aid their work, need to …

Fluid Flow and Transfer Processesexplainable artificial intelligenceskin cancerProcess Chemistry and TechnologyGeneral Engineeringconvolutional neural networkdeep learningsyväoppimineninterpretable machine learningpäätöksentukijärjestelmätneuroverkotdiagnostiikkaComputer Science Applicationsihosyöpälocal model-agnostic explanationskoneoppiminenGeneral Materials ScienceInstrumentationexplainable artificial intelligence; interpretable machine learning; skin cancer; convolutional neural network; deep learning; integrated gradients; local model-agnostic explanationsintegrated gradientsApplied Sciences
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Nanovised Control Flow Attestation

2022

This paper presents an improvement of control flow attestation (C-FLAT) for Linux. C-FLAT is a control attestation system for embedded devices. It was implemented as a software executing in ARM’s TrustZone on bare-metal devices. We extend the design and implementation of C-FLAT through the use of a type 2 Nanovisor in the Linux operating system. We call our improved system “C-FLAT Linux”. Compared to the original C-FLAT, C-FLAT Linux reduces processing overheads and is able to detect the SlowLoris attack. We describe the architecture of C-FLAT Linux and provide extensive measurements of its performance in benchmarks and real-world scenarios. In addition, we demonstrate the…

Fluid Flow and Transfer ProcessespääsynvalvontaSoftware_OPERATINGSYSTEMSvirtualisointiProcess Chemistry and TechnologyLinuxhypervisor; ARM; Linux; control flow; SlowLoris; TrustZoneSlowLorisGeneral EngineeringTrustZonecontrol flowComputer Science ApplicationsARMGeneral Materials SciencehypervisortietoturvaInstrumentationApplied Sciences; Volume 12; Issue 5; Pages: 2669
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Sarjakuva suomalaisen yhteiskunnan peilinä : Ola Fogelbergin Pekka Puupää-sarjakuva Kuluttajain Lehdessä 1925-1952

2001

Fogelberg OlayhteiskuntaaikakauslehdetsarjakuvatPekka Puupää
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