Sökning: "Sparse GP"

Hittade 3 uppsatser innehållade orden Sparse GP.

  1. 1. Gaussian Process Methods for Estimating Radio Channel Characteristics

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anton Ottosson; Viktor Karlstrand; [2020]
    Nyckelord :Gaussian processes; deep Gaussian processes; Bayesian methods; transfer functions; channel estimation; coher-ence bandwidth; kernel;

    Sammanfattning : Gaussian processes (GPs) as a Bayesian regressionmethod have been around for some time. Since proven advant-ageous for sparse and noisy data, we explore the potential ofGaussian process regression (GPR) as a tool for estimating radiochannel characteristics. LÄS MER

  3. 2. Gaussian processes for online system identification and control of a quadrotor

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Sverre Knutsen; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The aim of this master thesis was to develop adaptive control for a quadrotor using Gaussian process regression (GP). Online regression with GPs can provide many benefits as it is a flexible non-linear regression model that can provide uncertainty measures of the estimate. However, online GP regression may also gives rise to problems. LÄS MER

  4. 3. Evaluation of probabilistic representations for modeling and understanding shape based on synthetic and real sensory data

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Gabriela Zarzar Gandler; [2017]
    Nyckelord :shape learning; surface reconstruction; 3D reconstruction; 3D object modeling; probabilistic 3D reconstruction; probabilistic surface learning; Gaussian Process; GP; Sparse Gaussian Process; Sparse GP; Gaussian Process Implicit Surface; GPIS; variational inference; perception learning; robotic perception;

    Sammanfattning : The advancements in robotic perception in the recent years have empowered robots to better execute tasks in various environments. The perception of objects in the robot work space significantly relies on how sensory data is represented. LÄS MER