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Visar resultat 1 - 5 av 8 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Analyzing a New Method for Estimating Strength Classes in Existing RC Structures

    Master-uppsats, KTH/Transportplanering

    Författare :Gabriel Matli; Veronica Soulaka; [2023]
    Nyckelord :;

    Sammanfattning : This master thesis focuses on validating the Graphical Concrete Strength Class (GCSC) method on a large scale. The GCSC method is an empirical approach for assessing the concrete strength class of existing reinforced concrete structures. LÄS MER

  3. 2. Sum-Product Network in the context of missing data

    Master-uppsats, KTH/Matematisk statistik

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

    Sammanfattning : 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. LÄS MER

  4. 3. Probabilistic prediction of the behaviour of cyber attackers

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Pablo Camacho Gonzalez; [2020]
    Nyckelord :;

    Sammanfattning : Probabilistic graphical models are one of the most important tools used to learnfrom data and make decisions. Data analysis and representation methods arehighly used in cyber security as a powerful way to find understanding andimprove as cyber crime advances and cyber attacks become smarter. LÄS MER

  5. 4. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Zara Jackson; [2019]
    Nyckelord :Basal Metabolic Rate; Resting Metabolic Rate; Dynamic Bayesian Networks; Temporal Models; Food Tracking; Calories; Obesity; Pymc3; Probabilistic Programming;

    Sammanfattning : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. LÄS MER

  7. 5. Latent variable neural click models for web search

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Henrik Svebrant; [2018]
    Nyckelord :web search; click modeling; machine learning; recurrent neural networks; artificial neural networks;

    Sammanfattning : User click modeling in web search is most commonly done through probabilistic graphical models. Due to the successful use of machine learning techniques in other fields of research, it is interesting to evaluate how machine learning can be applied to click modeling. LÄS MER