Sökning: "Mixture models"

Visar resultat 1 - 5 av 173 uppsatser innehållade orden Mixture models.

  1. 1. La condition féminine dans Ombre sultane d’Assia Djebar et L’Interdite de Malika Mokeddem. Une analyse narratologique et sociocritique des deux romans

    Kandidat-uppsats, Göteborgs universitet/Institutionen för språk och litteraturer

    Författare :Isabelle Giovannini; [2023-02-09]
    Nyckelord :Condition féminine; vision de la société; émancipation; liberté; solidarité; narrateurs; désignation des personnages;

    Sammanfattning : Novels investigate mankind and the world. Through the comparative study of two novels, Ombre sultane by Assia Djebar and L’Interdite by Malika Mokeddem, we intended to analyze how the two texts depict the social hierarchy in Algeria in the end of the 1980s and at the beginning of the 1990s. LÄS MER

  3. 2. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Joel Viggesjöö; [2023]
    Nyckelord :Machine Learning; Federated Learning; Computer Vision;

    Sammanfattning : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. LÄS MER

  4. 3. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ricky Molén; [2023]
    Nyckelord :Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

    Sammanfattning : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. LÄS MER

  5. 4. Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Anna Pasini; [2023]
    Nyckelord :GHG emissions; Climate Change; Panel Data; Gaussian Mixture Models Cluster Analysis; PCA; Business and Economics;

    Sammanfattning : In response to the pressing need to address climate change and reduce global greenhouse gas (GHG) emissions, this study implemented Gaussian Mixture Models Clustering to detect the levels of GHG emissions and related socio-economic factors in 174 countries. To handle the panel data, Principal Component Analysis was conducted to achieve dimension reduction. LÄS MER

  7. 5. Wildfire growth modelling in Sweden - a suitability assessment of available data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Henrik Hagelin; [2023]
    Nyckelord :Geography; GIS; Geographic Information Science; Physical geography; Prometheus; WiSE-FASS; The 2014 Västmanland wildfire; Wildfire growth modelling; Wildfire suppression support; Wildfire behaviour; MESAN; Earth and Environmental Sciences;

    Sammanfattning : Wildfires are worldwide problems that stress societies by damaging their economies and they cause serious, sometimes fatal, health implications among the populations. In recent years, the rate of wildfire occurrence has increased as the global average temperature has risen. Because of global climate change, this rate is expected to continue rising. LÄS MER