Sökning: "Bayesian Neural Network"

Visar resultat 1 - 5 av 70 uppsatser innehållade orden Bayesian Neural Network.

  1. 1. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ansar Siddiqui; [2023]
    Nyckelord :;

    Sammanfattning : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. LÄS MER

  3. 2. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model

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

    Författare :Charu Karn; Samir Samahunov; [2023]
    Nyckelord :;

    Sammanfattning : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. LÄS MER

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

    Master-uppsats, KTH/Matematisk statistik

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

    Sammanfattning : 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. LÄS MER

  5. 4. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Oskar Falkeström; [2023]
    Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

    Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

  7. 5. Forecasting CO2 Emissions in Sweden with a Bayesian Neural Network

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Kayode Adebowale; Robin Uzel; [2023]
    Nyckelord :;

    Sammanfattning : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. LÄS MER