Sökning: "prediktioner"

Visar resultat 1 - 5 av 47 avhandlingar innehållade ordet prediktioner.

  1. 1. How memory of the past, a predictable present and expectations of the future underpin adaptation to the sound environment

    Författare :Anatole Nöstl; Patrik Sörqvist; Daniel Västfjäll; Högskolan i Gävle; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Memory; Expectations; Adaptation; Habituation; Predictions; Attentional capture; Auditory distraction; Minne; förväntningar; anpassning; habituation; prediktioner; fångad uppmärksamhet; auditiv distraktion;

    Sammanfattning : By using auditory distraction as a tool, the main focus of the present thesis is to investigate the role of memory systems in human adaptation processes towards changes in the built environment. Report I and Report II focus on the question of whether memory for regularities in the auditory environment is used to form predictions and expectations of future sound events, and if violations of these expectations capture attention. LÄS MER

  2. 2. Mathematical Learning Disability : Cognitive Conditions, Development and Predictions

    Författare :Rickard Östergren; Ulf Träff; Joakim Samuelsson; Örjan Dahlström; Åke Olofsson; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Mathematical learning disability; dyscalculia; mathematical cognition; number sense; Matematiska inlärningssvårigheter; dyskalkyli; matematisk kognition; antalsuppfattning;

    Sammanfattning : The purpose of the present thesis was to test and contrast hypotheses about the cognitive conditions that support the development of mathematical learning disability (MLD). Following hypotheses were tested in the thesis: a) domain general deficit, the deficit is primarily located in the domain general systems such as the working memory, b) number sense deficit, the deficit is located in the innate approximate number system (ANS), c) numerosity coding deficit, the deficit is located to a exact number representation system, d) access deficit, the deficit is in the mapping between symbols and the innate number representational system (e. LÄS MER

  3. 3. Spatiotemporal prediction of arbovirus outbreak risk : the role of weather and population mobility

    Författare :Aditya L. Ramadona; Joacim Rocklöv; Yesim Tozan; Hari Kusnanto; Lutfan Lazuardi; Paula Moraga; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; arbovirus; dengue; temperature; rainfall; extreme weather; climate variability; population mobility; twitter data; social media; forecasting model; early warning; epidemic; big data; INLA; spatiotemporal model; climate services;

    Sammanfattning : Background: Arboviruses such as dengue and chikungunya have been a significant public health burden globally for several decades. In Indonesia, all four dengue serotypes are circulating. LÄS MER

  4. 4. Predictions Within and Across Aquatic Systems using Statistical Methods and Models

    Författare :Peter H. Dimberg; Roger Herbert; Andreas C. Bryhn; Gesa Weyhenmeyer; Mikael Malmaeus; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Lake; Water quality; Chlorophyll-a; Total phosphorus; Seasonality; Morphometry; Regression model; Probability; Markov chain; Genetic programming; Temporal-trend; Earth Science with specialization in Environmental Analysis; Geovetenskap med inriktning mot miljöanalys;

    Sammanfattning : Aquatic ecosystems are an essential source for life and, in many regions, are exploited to a degree which deteriorates their ecological status. Today, more than 50 % of the European lakes suffer from an ecological status which is unsatisfactory. LÄS MER

  5. 5. Nonconformity Measures and Ensemble Strategies : An Analysis of Conformal Predictor Efficiency and Validity

    Författare :Henrik Linusson; Ulf Johansson; Henrik Boström; Alexander Gammerman; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Conformal Prediction; Classification; Regression; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Conformal predictors are a family of predictive models that associate with each of their predictions a measure of confidence, enabling them to provide quantitative information about their own trustworthiness. In risk-laden machine learning applications, where bad predictions may lead to economic loss, personal injury, or worse, such inherent quality control appears highly beneficial, if not required. LÄS MER