Sökning: "Olof Thompson"

Hittade 3 avhandlingar innehållade orden Olof Thompson.

  1. 1. Periprosthetic Joint Infections. Clinical and Epidemiological Aspects

    Författare :Olof Thompson; Infektionsmedicin; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; prosthetic joint infection; arthroplasty; Streptococcus; Enterococcus; register; mortality;

    Sammanfattning : Periprostheteic joint infection (PJI) is a rare complication of arthroplasty with severe consequences for the affected patients. PJI most often necessitates additional surgery and prolonged courses of antibiotic treatment, leading to worse functional results and increased societal costs. LÄS MER

  3. 2. A Dark Matter Search with AMANDA : Limits on the Muon Flux from Neutralino Annihilations at the Centre of the Earth with 1997-99 Data

    Författare :Patrik Ekström; Per Olof Hulth; Lee Thompson; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Physics; Elementary particle physics; Elementarpartikelfysik;

    Sammanfattning : The nature of the dark matter in the Universe is one of the greatest mysteries in modern astronomy. The neutralino is a nonbaryonic dark matter candidate in minimal supersymmetric extensions to the standard model of particle physics. LÄS MER

  4. 3. Reinforcement Learning and Dynamical Systems

    Författare :Björn Lindenberg; Karl-Olof Lindahl; Marc G. Bellemare; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; artificial intelligence; distributional reinforcement learning; Markov decision processes; Bellman operators; deep learning; multi-armed bandits; Bayesian bandits; conjugate priors; Thompson sampling; linear finite dynamical systems; cycle orbits; fixed-point systems; Mathematics; Matematik; Computer Science; Datavetenskap;

    Sammanfattning : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. LÄS MER