Sökning: "simple models"

Visar resultat 6 - 10 av 1017 avhandlingar innehållade orden simple models.

  1. 6. Stochastic Epidemic Models : Different Aspects of Heterogeneity

    Författare :Mathias Lindholm; Tom Britton; Maria Deijfen; Gianpaolo Scalia Tomba; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Sammanfattning : This thesis is concerned with the study of stochastic epidemic models for infectious diseases in heterogeneous populations. All diseases treated are of SIR type, i.e. individuals are either Susceptible, Infectious or Recovered (and immune). LÄS MER

  3. 7. Hydrokinetic Resource Assessment : Measurements and Models

    Författare :Emilia Lalander; Mats Leijon; Mitsuhiro Kawase; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : The conversion of kinetic energy in water currents into electricity has gained great attention the past years. The conversion systems are stand-alone units that typically consist of a turbine, driven by the water stream, with a generator connected to it. LÄS MER

  4. 8. Cognitive strategies in simple addition and subtraction : Process models based on analyses of response latencies and retrospective verbal reports

    Författare :Maj-Lene Hedenborg; Stellan Ohlsson; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; cognition; mental arithmetic; addition; subtraction; process models; response latencies; verbal reports; errors; psykologi; Psychology;

    Sammanfattning : The purpose of this thesis is to explore cognitive processes used by children and adults when solving simple arithmetic problems, and to develop process models for describing these processes. The studies in the thesis were based mainly on analyses of response latencies and retrospective verbal reports, separately and in combination. LÄS MER

  5. 9. Towards Accurate and Reliable Deep Regression Models

    Författare :Fredrik K. Gustafsson; Thomas B. Schön; Martin Danelljan; Søren Hauberg; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Deep Learning; Regression; Probabilistic Models; Energy-Based Models; Uncertainty Estimation; Machine learning; Maskininlärning;

    Sammanfattning : Regression is a fundamental machine learning task with many important applications within computer vision and other domains. In general, it entails predicting continuous targets from given inputs. LÄS MER

  7. 10. Statistical modeling and design in forestry : The case of single tree models

    Författare :Leakemariam Berhe; Göran Arnoldsson; Göran Broström; Dieter Rasch; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Forest data; Covariance structures; Nonlinear mixed effects models; Tree taper models; Ds-optimal design; Replication-free design.; Statistics; Statistik;

    Sammanfattning : Forest quantification methods have evolved from a simple graphical approach to complex regression models with stochastic structural components. Currently, mixed effects models methodology is receiving attention in the forestry literature. LÄS MER