Essays about: "Bayesian networks"

Showing result 6 - 10 of 119 essays containing the words Bayesian networks.

  1. 6. 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. 7. 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

    University essay from Uppsala universitet/Signaler och system

    Author : Oskar Falkeström; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE

  4. 8. Modelling synaptic rewiring in brain-like neural networks for representation learning

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

    Author : Kunal Bhatnagar; [2023]
    Keywords : Adaptive Sparsity; Computational Neuroscience; Rewiring; Structural Plasticity; Brain-like Computing; Neural Networks; Hebbian Learning; Adaptiv gleshet; beräkningsneurovetenskap; omkoppling; strukturell plasticitet; Hjärnliknande beräkning; Neurala Nätverk; Hebbskt lärande;

    Abstract : This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. READ MORE

  5. 9. Latency Prediction in 5G Networks by using Machine Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Erica Elgcrona; Evrim Mete; [2023]
    Keywords : Technology and Engineering;

    Abstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE

  6. 10. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations

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

    Author : Victor Lopo Martinez; [2023]
    Keywords : Bayesian Networks; Structure Learning; Conditional Probability Tables; Maximum Likelihood Estimator; XGBoost; and Respiratory System; Bayesianska nätverk; Strukturinlärning; Villkorliga sannolikhetstabeller; Maximum Likelihood Estimator; XGBoost; och Andningssystemet;

    Abstract : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. READ MORE