Sökning: "Thomas B. Schön"
Visar resultat 11 - 15 av 19 avhandlingar innehållade orden Thomas B. Schön.
11. Particle filters and Markov chains for learning of dynamical systems
Sammanfattning : Sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods provide computational tools for systematic inference and learning in complex dynamical systems, such as nonlinear and non-Gaussian state-space models. This thesis builds upon several methodological advances within these classes of Monte Carlo methods. LÄS MER
12. Sensor Fusion for Automotive Applications
Sammanfattning : Mapping stationary objects and tracking moving targets are essential for many autonomous functions in vehicles. In order to compute the map and track estimates, sensor measurements from radar, laser and camera are used together with the standard proprioceptive sensors present in a car. LÄS MER
13. Towards individualised treatment of tuberculosis
Sammanfattning : Each year, around 10 million of individuals develop active tuberculosis (TB). Worldwide, TB is the leading cause of death from an infectious agent surpassing both malaria and HIV. LÄS MER
14. Robust machine learning methods
Sammanfattning : We are surrounded by data in our daily lives. The rent of our houses, the amount of electricity units consumed, the prices of different products at a supermarket, the daily temperature, our medicine prescriptions, our internet search history are all different forms of data. Data can be used in a wide range of applications. LÄS MER
15. Integrating Prior Knowledge into Machine Learning Models with Applications in Physics
Sammanfattning : At the extremes, two antithetical approaches to describing natural processes exist. Theoretical models can be derived from first principles, allowing for clear interpretability; on the downside, this approach may be infeasible or inefficient for complex systems. LÄS MER