Sökning: "Gradient Boosted Decision Trees"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Gradient Boosted Decision Trees.

  1. 1. Condition-based Estimation of Ambulance Travel Times

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Lucas Kylberg; [2023]
    Nyckelord :Travel time estimation; Travel time prediction; Emergency vehicles;

    Sammanfattning : Travel time estimation can be used in strategical distribution of ambulances and ambulance stations. A more accurate travel time estimation can lead to a better distribution of these ambulance sites. External factors such as weather and traffic conditions can affect the travel time from a starting location to a destination. LÄS MER

  3. 2. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning

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

    Författare :Serkan Arda Yilal; [2023]
    Nyckelord :Variational Autoencoders; Rheumatoid Arthritis; Precision Medicine; Treatment Prediction; Deep Learning; Supervised Learning; Rheumatoid Artrit; Precisionsmedicin; Behandlingsförutsägelse; Djupinlärning; Övervakat lärande;

    Sammanfattning : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). LÄS MER

  4. 3. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

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

    Författare :Isac Lorentz; [2023]
    Nyckelord :Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER

  5. 4. Credit Scoring Based on Behavioural Data

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

    Författare :Daniel Bouvin; Erik Hamberg; [2022]
    Nyckelord :Banking; Behavior; Behaviour; Credit Modelling; Klarna; Logistic Regression; Machine Learning; Neural Networks; Random Forests; XGBoost;

    Sammanfattning : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. LÄS MER

  7. 5. Free-text Informed Duplicate Detection of COVID-19 Vaccine Adverse Event Reports

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Erik Turesson; [2022]
    Nyckelord :Duplicate detection; Deduplication; Record linkage; Adverse Event Reports; COVID-19 Vaccines; Uppsala Monitoring Centre; VigiBase; Machine Learning; Gradient Boosted Decision Trees; BERT; Natural Language Processing; Pharmacovigilance; Individual Case Safety Reports;

    Sammanfattning : To increase medicine safety, researchers use adverse event reports to assess causal relationships between drugs and suspected adverse reactions. VigiBase, the world's largest database of such reports, collects data from numerous sources, introducing the risk of several records referring to the same case. LÄS MER