Essays about: "Mixture model"

Showing result 1 - 5 of 171 essays containing the words Mixture model.

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

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Rebecka Mattsson; [2020]
    Keywords : ;

    Abstract : 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. READ MORE

  2. 2. Prediction of Dose Probability Distributions Using Mixture Density Networks

    University essay from KTH/Matematisk statistik

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

    Abstract : 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. READ MORE

  3. 3. Capturing Tail Risk in a Risk Budgeting Model

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Lundin; Markus Wahlgren; [2020]
    Keywords : ;

    Abstract : 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. READ MORE

  4. 4. Sum-Product Network in the context of missing data

    University essay from KTH/Matematisk statistik

    Author : Pierre Clavier; [2020]
    Keywords : Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Abstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE

  5. 5. Analysis and Simulation Study of Stochastic Time-To-Collision as a Severity Measure in Traffic Security

    University essay from Lunds universitet/Matematisk statistik

    Author : Per Niklas Benzler Waaler; [2020]
    Keywords : time; collision; ttc; stochastic; probability; transform; transformation; traffic; data; under; estimation; post; encroachment; mixture; distribution; simulation; study; encounter; conflict; trajectory; prediction; road; user; safety; severity; surrogate; measure; Mathematics and Statistics;

    Abstract : Traffic accidents are extremely rare, creating the need for surrogate methods for safety analysis that makes efficient use of the information provided by traffic conflicts, which also are limited in availability. The severity measure time-to-collision (TTC) in combination with extreme value theory have so far been one of the primary measures used to infer traffic safety levels, but it relies on unrealistic assumptions that results in severity measures that do not always agree well with observed danger. READ MORE