Essays about: "dimensional regularization"

Showing result 1 - 5 of 18 essays containing the words dimensional regularization.

  1. 1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

    University essay from Lunds universitet/Statistiska institutionen

    Author : Markus Gerholm; Johan Sörstadius; [2024]
    Keywords : Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

    Abstract : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. READ MORE

  2. 2. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE

  3. 3. Topology optimization: perimeter restriction using total variation

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : Jonas Fredriksson; [2022]
    Keywords : Topology optimization; structural optimization; solid mechanics; total variation; Technology and Engineering;

    Abstract : Topology optimization is a method used to find optimal material distributions, within a specified domain, with respect to some performance measure. To avoid various artifacts to appear in the suggested design, the solution space is typically restricted, where some restriction methods allow different length scales to be controlled in the design. READ MORE

  4. 4. Distance preserving Fermat VAE

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Miklovana Tuci; [2022]
    Keywords : ;

    Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE

  5. 5. Higgs Boson Decay to Two Photons : Probing the Standard Model

    University essay from Stockholms universitet/Fysikum

    Author : Daniel Slominski; [2022]
    Keywords : ;

    Abstract : The Higgs to Two Photon decay channel is analyzed to one-loop in the Feynman gauge.  Triangle loop processes are evaluated using dimensional regularization due to divergent integrals.  The build up to Higgs physics is given by way of gauge theories in the Standard Model where we can then introduce the Higgs field. READ MORE