Sökning: "statistiska institutionen uu"

Visar resultat 41 - 45 av 543 uppsatser innehållade orden statistiska institutionen uu.

  1. 41. MACHINE INSURANCE PREMIUM CALCULATIONS BASED ON CLAIM MODELS

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Hugo Sebyhed; [2023]
    Nyckelord :;

    Sammanfattning : The market for insurance continues to grow and expand. As insurance plays a part in our very own lives, it is important to understand how the premiums are calculated. In this thesis, this is done for machines, namely, cars and spindles. The premiums are calculated by combining claim frequency and claim severity. LÄS MER

  3. 42. DYNAMIC INFLUENT FORECASTING FOR WASTEWATER TREATMENT PLANTS: A CASE STUDY AT ÖRESUNDSVERKET WWTP, HELSINGBORG

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Peiyu Jiang; [2023]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  4. 43. Annotating Job Titles in Job Ads using Swedish Language Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Markus Ridhagen; [2023]
    Nyckelord :Natural language processing; NLP; Named-entity recognition; NER; Bidirectional Encoder Representations from Transformers; BERT; Active Learning;

    Sammanfattning : This thesis investigates automated annotation approaches to assist public authorities in Sweden in optimizing resource allocation and gaining valuable insights to enhance the preservation of high-quality welfare. The study uses pre-trained Swedish language models for the named entity recognition (NER) task of finding job titles in job advertisements from The Swedish Public Employment Service, Arbetsförmedlingen. LÄS MER

  5. 44. The risk of developing Periodontitis; A Random Forest based algorithm

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Noel Waldenfjord; Albert Sedwall; [2023]
    Nyckelord :machine learning; random forest; periodontitis; statistics;

    Sammanfattning : Periodontitis is a gum disease that is the result of infections and inflammation of the gums and the bone which surround and support the teeth. In the most severe cases, teeth may loosen or fall out. LÄS MER

  7. 45. Improving House Price Prediction Models: Exploring the Impact of Macroeconomic Features

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Martin Holmqvist; Max Hansson; [2023]
    Nyckelord :Machine learning; random forest; xgboost; macroeconomic features; house prices;

    Sammanfattning : This thesis investigates if house price prediction models perform better when adding macroe- conomic features to a data set with only house-specific features. Previous research has shown that tree-based models perform well when predicting house prices, especially the algorithms random forest and XGBoost. LÄS MER