Search for dissertations about: "Bayesian learning"
Showing result 16 - 20 of 120 swedish dissertations containing the words Bayesian learning.
-
16. Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Abstract : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. READ MORE
-
17. Bayesian Models for Spatiotemporal Data from Transportation Networks
Abstract : Urbanization has caused a historical transformation at a global scale, and humanity is moving towards a fully connected society where cities will concentrate population, infrastructure and economic activity. A key element in the cities’ infrastructure is the transportation system, as it facilitates the mobility of people and goods. READ MORE
-
18. Harvesting Based Communications for Wireless Control Systems : Event-Trigger and Reinforcement Learning Based Transmission Policies
Abstract : Wireless control systems have gained considerable attention in recent years due to their numerous advantages, including increased flexibility and scalability, reduced wiring complexity, and cost-efficiency. Despite these benefits, the use of communication networks in control loops poses various challenges, such as sampled data, latency, packet dropouts, etc. READ MORE
-
19. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution
Abstract : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. READ MORE
-
20. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Abstract : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. READ MORE