Essays about: "Differential Machine Learning"

Showing result 1 - 5 of 32 essays containing the words Differential Machine Learning.

  1. 1. Evaluation of Physics Informed Neural Networks in engineering simple structural analysis problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Georgios Nentidis; [2023]
    Keywords : ;

    Abstract : Neural Networks have found many applications for a long time in Machine Learning in different disciplines, and have especially flourished in the last decade because of the ever-increasing processing power especially from GPUs. Because of their ability to operate as universal function approximators and model nonlinear processes, attempts have been made in recent years to be also used for modeling partial differential equation (PDE) solutions. READ MORE

  3. 2. Credit Exposure Modelling Using Differential Machine Learning

    University essay from Lunds universitet/Matematisk statistik

    Author : Måns Karp; Samuel Wagner; [2023]
    Keywords : Counterparty credit risk; Differential machine learning; Exposure modelling; Heston model; Option pricing; Mathematics and Statistics;

    Abstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE

  4. 3. Deep learning of nonlinear development of unstable flame fronts

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Ludvig Nobel; [2023]
    Keywords : Technology and Engineering;

    Abstract : The purpose of this study is to investigate Machine Learning methods and their ability to learn the development of nonlinear unstable flame fronts due to diffusive-thermal instabilities. This task is performed by first numerically computing long time-sequences of solutions to the chaotic partial differential equation named Kuramoto-Sivashinsky equation which models such instabilities in a flame front. READ MORE

  5. 4. Differentially Private Random Forests for Network Intrusion Detection in a Federated Learning Setting

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Alexander Frid; [2023]
    Keywords : Machine Learning; Random Forest; Federated Learning; Differential Privacy; Maskininlärning; Random Forest; Federated Learning; Differential Privacy;

    Abstract : För varje dag som går möter stora industrier en ökad mängd intrång i sina IT-system. De flesta befintliga verktyg som använder sig utav maskininlärning är starkt beroende av stora mängder data, vilket innebär risker under dataöverföringen. READ MORE

  6. 5. Profiling the Blood Proteome in Autoimmune Disease Using Proximity Extension Assay

    University essay from KTH/Proteinvetenskap

    Author : Julia Asp; [2023]
    Keywords : Plasma proteomics; proximity extension assay; autoimmune disease; differential expression; machine learning; biomarkers; Plasma proteomik; proximity extension assay; autoimmuna sjukdomar; differentiellt proteinuttryck; maskininlärning; biomarkörer;

    Abstract : Autoimmuna sjukdomar är en samling komplexa, kroniska, inflammatoriska sjukdomstillstånd som kännetecknas av dysreglering av immunsystemet, vilket resulterar i inflammation och skada av vävnader, celler och organ. Dessa sjukdomar har en betydande inverkan på individens livskvalitet och bidrar ofta till ökad dödsrisk där komorbiditeter föreligger. READ MORE