Sökning: "gaussian mixture model"

Visar resultat 21 - 25 av 79 uppsatser innehållade orden gaussian mixture model.

  1. 21. Keystroke dynamics for student authentication in online examinations

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Rebecka Mattsson; [2020]
    Nyckelord :;

    Sammanfattning : Biometrics are distinctive for each person, and can not be given away or hacked like a password. Keystroke dynamics is a behavioral biometric characteristic that can be used as a complementary authentication step [1]. In online examinations it is difficult to make sure that each student write their own work. LÄS MER

  3. 22. Prediction of Dose Probability Distributions Using Mixture Density Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Viktor Nilsson; [2020]
    Nyckelord :Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

    Sammanfattning : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. LÄS MER

  4. 23. Capturing Tail Risk in a Risk Budgeting Model

    Master-uppsats, KTH/Matematisk statistik

    Författare :Filip Lundin; Markus Wahlgren; [2020]
    Nyckelord :;

    Sammanfattning : Risk budgeting, in contrast to conventional portfolio management strategies, is all about distributing the risk between holdings in a portfolio. The risk in risk budgeting is traditionally measured in terms of volatility and a Gaussian distribution is commonly utilized for modeling return data. LÄS MER

  5. 24. Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

    Master-uppsats, KTH/Matematisk statistik

    Författare :Rutger Fuglesang; [2020]
    Nyckelord :Statistics; applied mathematics; sequential monte carlo; SMC; Statistical inference; Statisk; sekventiell monte carlo; SMC; tillämpad matematik;

    Sammanfattning : This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistical inference from data streams tends to be difficult, and this is particularly the case for parametric models, which will be the focus of this paper. LÄS MER

  7. 25. Statistical Modelling of Plug-In Hybrid Fuel Consumption : A study using data science methods on test fleet driving data

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Theodor Matteusson; Niclas Persson; [2020]
    Nyckelord :Machine learning; Data science; Plug-in hybrid electric vehicle; Charge depletion; Charge sustaining; Fuel consumption; Maskininlärning; Data science; Ladd-hybrider; Charge depletion; Charge sustaining; Bränsleförbrukning;

    Sammanfattning : The automotive industry is undertaking major technological steps in an effort to reduce emissions and fight climate change. To reduce the reliability on fossil fuels a lot of research is invested into electric motors (EM) and their applications. LÄS MER