Sökning: "Thomas B. Schön"

Visar resultat 16 - 19 av 19 avhandlingar innehållade orden Thomas B. Schön.

1. 16. Learning probabilistic models of dynamical phenomena using particle filters

   Författare :Andreas Svensson; Thomas B. Schön; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

   Sammanfattning : Dynamical behavior can be seen in many real-life phenomena, typically as a dependence over time. This thesis studies and develops methods and probabilistic models for statistical learning of such dynamical phenomena.A probabilistic model is a mathematical model expressed using probability theory. LÄS MER

3. 17. Machine learning with state-space models, Gaussian processes and Monte Carlo methods

   Författare :Andreas Svensson; Thomas B. Schön; Fredrik Lindsten; Carl Edward Rasmussen; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; State-space models; Gaussian processes; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

   Sammanfattning : Numbers are present everywhere, and when they are collected and recorded we refer to them as data. Machine learning is the science of learning mathematical models from data. Such models, once learned from data, can be used to draw conclusions, understand behavior, predict future evolution, and make decisions. LÄS MER

4. 18. Modeling of Magnetic Fields and Extended Objects for Localization Applications

   Författare :Niklas Wahlström; Fredrik Gustafsson; Thomas B. Schön; Simon Maskell; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Localization; magnetic tracking; extended target tracking; signal processing; machine learning; Gaussian processes; deep dynamical model; discretization;

   Sammanfattning : The level of automation in our society is ever increasing. Technologies like self-driving cars, virtual reality, and fully autonomous robots, which all were unimaginable a few decades ago, are realizable today, and will become standard consumer products in the future. LÄS MER

5. 19. Topics on Generative Models in Machine Learning

   Författare :Carl Ringqvist; Henrik Hult; Thomas Schön; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Latent variable models have been extensively studied within the field of machine learning in recent years. Especially in combination with neural networks and training through back propagation, they have proven successful for a variety of tasks; notably sample gener- ation, clustering, disentanglement and interpolation. LÄS MER