Essays about: "Sparse Gaussian Process"

Showing result 1 - 5 of 7 essays containing the words Sparse Gaussian Process.

  1. 1. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

    University essay from Lunds universitet/Matematisk statistik

    Author : Mika Persson; [2022]
    Keywords : Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

    Abstract : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. READ MORE

  3. 2. Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning

    University essay from KTH/Matematisk statistik

    Author : Ivar Eriksson; [2020]
    Keywords : Radiation therapy; automated planning; machine learning; autoencoder; distance optimisation; sparse pseudo-input Gaussian process; kernel density estimation; dose mimicking; dose–volume histogram; Strålbehandling; automatiserad dosplanering; maskininlärning; autoencoder; distansoptimering; glesa Gaussiska processer; sannolikhets-fördelnings-estimering; dosrekonstruktion; dos–volymhistogram;

    Abstract : Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. READ MORE

  4. 3. Gaussian Process Methods for Estimating Radio Channel Characteristics

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  5. 4. Modelling Bitcell Behaviour

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Maria Treesa Sebastian; [2020]
    Keywords : Bitcell; Performance; K-Nearest Neighbors; Gaussian Process Regression;

    Abstract : With advancements in technology, the dimensions of transistors are scaling down. It leads to shrinkage in the size of memory bitcells, increasing its sensitivity to process variations introduced during manufacturing. READ MORE

  6. 5. Gaussian processes for online system identification and control of a quadrotor

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Sverre Knutsen; [2019]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE