Essays about: "Bayesian networks"

Showing result 1 - 5 of 95 essays containing the words Bayesian networks.

  1. 1. Bayesian Neural Networks for Forecasting Restaurant Table Bookings

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jonas Nygren; [2022]
    Keywords : ;

    Abstract :  In the restaurant business, the amount of bookings and guests on a given day will vary greatly depending on multiple factors, both internal and external. Examples of internal factors may be events held at the restaurant such as parties, quiz nights or special offers. READ MORE

  2. 2. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

    Author : Serghei Socolovschi; [2022]
    Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE

  3. 3. Evolutionary Properties of Neural Networks: Exploration of Robustness and Evolvability in the Genotype-Phenotype Map

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Daesung Cho; [2022]
    Keywords : robustness; evolvability; genotype-phenotype map; canalization; Bayesian inference; simulation-based inference; information theory; neural networks; pyloric rhythm; Physics and Astronomy;

    Abstract : Evolution is a fundamental and crucial part of life that hinges on two central properties: robustness and evolvability. Robustness is required to maintain essential traits despite mutations while evolvability produces novel traits that might prove beneficial in survival. READ MORE

  4. 4. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule

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

    Author : Ojasvi Singh; [2022]
    Keywords : Spike-Timing Dependent Plasticity; neuromorphic computing; Hebbian Learning; Spiking Neural Networks; memory optimization.; Spike-Timing Beroende Plasticitet; neuromorfisk beräkning; Hebbiansk inlärning; Spiking Neural Networks; Minnes optimering;

    Abstract : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. READ MORE

  5. 5. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

    University essay from KTH/Matematisk statistik

    Author : Nils Olsgärde; [2021]
    Keywords : Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

    Abstract : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. READ MORE