Sökning: "multinomial models"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden multinomial models.

  1. 1. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Li Ang Hu; Long Ma; [2023]
    Nyckelord :Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER

  3. 2. Intergenerational Educational Mobility among Immigrants and Natives in Germany

    Master-uppsats, Lunds universitet/Ekonomisk-historiska institutionen

    Författare :Anastasia Demidova; [2023]
    Nyckelord :Intergenerational Mobility; Migration; Education; Human Capital; Germany; Business and Economics; Social Sciences;

    Sammanfattning : This study examines the intergenerational educational mobility among immigrants and natives in Germany. Three regression models are estimated to investigate potential differences in the transmission of human capital from parents to their children between immigrants and natives. LÄS MER

  4. 3. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Stina Backerholm; Malin Börjesjö; [2023]
    Nyckelord :Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

    Sammanfattning : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. LÄS MER

  5. 4. Sentence based risk classifier using NLP and machine learning

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :David Tran; Hugo Starck; [2023]
    Nyckelord :;

    Sammanfattning : This project was inspired by the company Dizparc and has a focus onclassification systems together with certain applications of natural languageprocessing. Classification systems are a very extensively researched areadating back to the latter half of the 1900s with multiple different ways of theproblems presented up until its more modern takes in today’s age. LÄS MER

  7. 5. A study about Active Semi-Supervised Learning for Generative Models

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Elisio Fernandes de Almeida Quintino; [2023]
    Nyckelord :Semi-Supervised Learning; Active Learning; Generative Models; Mixture Models; Semi-Övervakad Inlärning; Aktiv Inlärning; Generativa Modeller; Mixturmodeller;

    Sammanfattning : In many relevant scenarios, there is an imbalance between abundant unlabeled data and scarce labeled data to train predictive models. Semi-Supervised Learning and Active Learning are two distinct approaches to deal with this issue. LÄS MER