Essays about: "boosted decision trees"

Showing result 1 - 5 of 23 essays containing the words boosted decision trees.

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

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Lucas Kylberg; [2023]
    Keywords : Travel time estimation; Travel time prediction; Emergency vehicles;

    Abstract : 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. READ MORE

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

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

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

    Abstract : 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). READ MORE

  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

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

    Author : Isac Lorentz; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Exploring Boosted Decision Trees for an ATLAS Search for Dark Mesons

    University essay from Uppsala universitet/Högenergifysik

    Author : Eva Mayer; [2023]
    Keywords : ;

    Abstract : .... READ MORE

  6. 5. Application of a Boosted Decision Tree to signals andbackgrounds of the search for Dark Mesons at theATLAS experiment

    University essay from Uppsala universitet/Högenergifysik

    Author : Eva Mayer; [2022]
    Keywords : ;

    Abstract : An ongoing analysis at the ATLAS experiment is searching for a Dark Matter candidate in the shape of Dark Mesons. Simulations of the signal and background data have been produced with the Monte Carlo method. This project tests the possibilities of using Boosted Decision Trees for the distinction between the simulated signal and background data. READ MORE