Essays about: "Bayesian estimator"

Showing result 6 - 10 of 15 essays containing the words Bayesian estimator.

  1. 6. Hyperparameter Optimization for Convolutional Neural Networks

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

    Author : Clément Gousseau; [2020]
    Keywords : ;

    Abstract : Training algorithms for artificial neural networks depend on parameters called the hyperparameters. They can have a strong influence on the trained model but are often chosen manually with trial and error experiments. READ MORE

  3. 7. TDNet : A Generative Model for Taxi Demand Prediction

    University essay from Linköpings universitet/Programvara och system

    Author : Gustav Svensk; [2019]
    Keywords : Taxi Demand; TDNet; WaveNet; Tree Parzen Estimator; Predictive Models; Convolutional Neural Networks; Time Series Forecasting; Traffic Forecasting; Sequence Learning Models;

    Abstract : Supplying the right amount of taxis in the right place at the right time is very important for taxi companies. In this paper, the machine learning model Taxi Demand Net (TDNet) is presented which predicts short-term taxi demand in different zones of a city. READ MORE

  4. 8. An estimator of winter loss of honey bees in Sweden

    University essay from Lunds universitet/Matematisk statistik

    Author : Elenor Hagö; [2018]
    Keywords : Mathematics and Statistics;

    Abstract : The aim of this thesis is to suggest a statistical model to estimate the loss rates of honey bees during winter in Sweden. The estimator is to be based on annual summary statistics, collected by the Swedish beekeeping organisation. READ MORE

  5. 9. A Comparative Study of Black-box Optimization Algorithms for Tuning of Hyper-parameters in Deep Neural Networks

    University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Author : Skogby Steinholtz Olof; [2018]
    Keywords : ;

    Abstract : Deep neural networks (DNNs) have successfully been applied across various data intensive applications ranging from computer vision, language modeling, bioinformatics and search engines. Hyper-parameters of a DNN are defined as parameters that remain fixed during model training and heavily influence the DNN performance. READ MORE

  6. 10. Copula selection and parameter estimation in market risk models

    University essay from KTH/Matematisk statistik

    Author : Carl Ljung; [2017]
    Keywords : ;

    Abstract : In this thesis, literature is reviewed for theory regarding elliptical copulas (Gaussian, Student’s t, and Grouped t) and methods for calibrating parametric copulas to sets of observations. Theory regarding model diagnostics is also summarized in the thesis. READ MORE