Sökning: "boosted classification"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden boosted classification.

1. 1. 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

3. 2. The impact of open business model, innovation types and firm’s capital structure on product’s time-to-market and firm performance

   Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Författare :Christoffer Nilsson; Belinda Hsu; [2022]
   Nyckelord :Business model framework; innovation; capital structure; time-to-market; firm performance; structural equation modeling; exploratory factor analysis;

   Sammanfattning : For decades, globalization has introduced both opportunities and pressures for companies around the world by introducing freer trade, increasing foreign direct investment and the international use of intellectual property that boosted the diffusion of knowledge and technology. As a result, the international competition has become more intense for many firms. LÄS MER

4. 3. Increasing Retention in Insurtechs Through Churn Prediction

   Master-uppsats, Lunds universitet/Innovationsteknik

   Författare :John Rapp Farnes; Oskar Christiansen; [2021]
   Nyckelord :Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

   Sammanfattning : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. LÄS MER

5. 4. Automatic Tagging of Salary Differences

   Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Emanuel Gustafsson; [2021]
   Nyckelord :Machine learning; classification; salary analysis; Maskinlärning; klassificering; löneanalys;

   Sammanfattning : Jämlikhet på arbetsplatser är fortfarande ett stort problem särskilt när det kommer till lönesättning. För att hjälpa till att lösa det problemet har Sysarb utvecklat olika verktyg för att hitta icke jämlika förhållanden i löner på företag och organisationer. LÄS MER

7. 5. Telecommunications Trouble Ticket Resolution Time Modelling with Machine Learning

   Master-uppsats, KTH/Matematisk statistik

   Författare :Axel Björling; [2021]
   Nyckelord :Machine learning; regression; classification; telecommunications trouble ticket resolution time; support vector machine; logistic regression; deep neural network; gradient boosted trees regression; Maskininlärning; regression; klassificering; avvikelserapport i telenät; lösningstid felanmälan; support vector machine; logistic regression; neurala nätverk; gradient boosted trees regression;

   Sammanfattning : This report explores whether machine learning methods such as regression and classification can be used with the goal of estimating the resolution time of trouble tickets in a telecommunications network. Historical trouble ticket data from Telenor were used to train different machine learning models. LÄS MER