Sökning: "prediction"

Visar resultat 1 - 5 av 2018 uppsatser innehållade ordet prediction.

  1. 1. Will Good Deeds Redeem Your Sins? A quantitative study of the effects of corporate charitable donations in a sin stock setting

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Fredrik Mattsson; Herman Weber; [2020-08-05]
    Nyckelord :Sin Stocks; CSR; Corporate Donations; Charity; Legitimacy; Stakeholder Sentiment;

    Sammanfattning : MSc in Accounting and Financial Management.... LÄS MER

  2. 2. Compressed Machine Learning on Time Series Data

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Felix Finger; Nathalie Gocht; [2020-07-08]
    Nyckelord :time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

    Sammanfattning : The extent of time related data across many fields has led to substantial interestin the analysis of time series. This interest meets growing challenges to store andprocess data. While the data is collected at an exponential rate, advancements inprocessing units are slowing down. LÄS MER

  3. 3. Cropland and tree cover mapping using Sentinel-2 data in an agroforestry landscape, Burkina Faso

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Ntandokazi Masimula; [2020-06-29]
    Nyckelord :Sentinel-2; Cropland mask; Tree cover estimation; Burkina Faso; Agroforestry; Random Forest;

    Sammanfattning : Sentinel-2, with high spatial resolution bands and increased number of spectral channels,has provided increased capabilities for vegetation mapping. Cropland masks withinheterogeneous areas such as the Sudano-Sahel zone have become useful for monitoringlandscapes. LÄS MER

  4. 4. Predicting Asset Prices with Machine Learning

    Kandidat-uppsats,

    Författare :Adam Eklund; Valter Trollius; [2020-06-29]
    Nyckelord :Machine learning; neural networks; OLS regression; asset pricing; financial forecasting; out-of-sample; predictability;

    Sammanfattning : This study examines whether machine learning techniques such as neural networks contain predictability when modeling asset prices and if they can improve on asset pricing prediction compared to traditional OLS-regressions. This is analyzed through measuring and comparing the out-of-sample R2 to find each models’ predictive power. LÄS MER

  5. 5. Performance Analysis of Various Activation Functions Using LSTM Neural Network For Movie Recommendation Systems

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

    Författare :Philip Song; André Brogärd; [2020]
    Nyckelord :;

    Sammanfattning : The growth of importance and popularity of recommendations system has increased in many various areas. This thesis focuses on recommendation systems for movies. Recurrent neural networks using LSTM blocks have shown some success for movie recommendation systems. LÄS MER