Sökning: "Thomas B. Schön"

Visar resultat 11 - 15 av 19 avhandlingar innehållade orden Thomas B. Schön.

  1. 11. Particle filters and Markov chains for learning of dynamical systems

    Författare :Fredrik Lindsten; Thomas B. Schön; Lennart Ljung; Fredrik Gustafsson; Arnaud Doucet; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian learning; System identification; Sequential Monte Carlo; Markov chain Monte Carlo; Particle MCMC; Particle filters; Particle smoothers;

    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

  3. 12. Sensor Fusion for Automotive Applications

    Författare :Christian Lundquist; Fredrik Gustafsson; Thomas B. Schön; Uwe Hanebeck; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Kalman filter; PHD filter; extended targets; tracking; sensor fusion; road model; single track model; bicycle model;

    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

  4. 13. Towards individualised treatment of tuberculosis

    Författare :Katarina Niward; Thomas Schön; Jakob Paues; Judith Bruchfeld; Maria Lerm; Åse B. Andersen; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

    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

  5. 14. Robust machine learning methods

    Författare :Muhammad Osama; Dave Zachariah; Thomas B. Schön; Visa Koivunen; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; artificial intelligence; machine learning; risk minimization; data corruption; decision policy; conformal methods; data from contexts; online learning; spice; robust; causal inference; point process; localization; distribution uncertainty; treatment rules; quantile treatment; predicting count data; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    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

  7. 15. Integrating Prior Knowledge into Machine Learning Models with Applications in Physics

    Författare :Philipp Pilar; Niklas Wahlström; Thomas B. Schön; Arto Klami; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Maskininlärning;

    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