Sökning: "Random Forest"

Visar resultat 1 - 5 av 378 uppsatser innehållade orden Random Forest.

  1. 1. Predicting Pedestrian Counts per Street Segment in Urban Environments

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

    Författare :Simon Karlsson; [2020-07-08]
    Nyckelord :data science; pedestrian movement; machine learning; random forest; negative binomial; spatial morphology; road network; street centrality; built environment; built density; attractions; land division;

    Sammanfattning : Cities are continuously growing all over the world and the complexity of designingurban environments increases. Therefore, there is a need to build a better understandingin how our cities work today. One of the essential parts of this is understandingthe pedestrian movement. LÄS MER

  2. 2. 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

  3. 3. Prediction of Dose Probability Distributions Using Mixture Density Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Viktor Nilsson; [2020]
    Nyckelord :Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

    Sammanfattning : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. LÄS MER

  4. 4. Product Similarity Matching for Food Retail using Machine Learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Hanna Kerek; [2020]
    Nyckelord :Product matching; Machine Learning; Random Forest; Logistic Regression; Support Vector Machines; Produktmatchning; maskininlärning; Random Forest; logistisk regression; Support Vector Machines;

    Sammanfattning : Product similarity matching for food retail is studied in this thesis. The goal is to find products that are similar but not necessarily of the same brand which can be used as a replacement product for a product that is out of stock or does not exist in a specific store. LÄS MER

  5. 5. Research on a Heart Disease Prediction Model Based on the Stacking Principle

    Kandidat-uppsats, Högskolan Dalarna/Informatik

    Författare :Jianeng Li; [2020]
    Nyckelord :Heart disease; prediction model; Stacking fusion model; ensemble learning; model interpretability;

    Sammanfattning : In this study, the prediction model based on the Stacking principle is called the Stacking fusion model. Little evidence demonstrates that the Stacking fusion model possesses better prediction performance in the field of heart disease diagnosis than other classification models. LÄS MER