Sökning: "Voting ensemble"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Voting ensemble.

  1. 1. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER

  3. 2. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER

  4. 3. Deep learning-based segmentation of anatomical structures in MR images

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Rasmus Ledberg; [2023]
    Nyckelord :MRI; deep learning; segmentation;

    Sammanfattning : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. LÄS MER

  5. 4. Recognition of Handwritten Swedish Sentences With Deep Learning

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hussain Kara Fallah; [2023]
    Nyckelord :;

    Sammanfattning : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. LÄS MER

  7. 5. Comparing Ensemble Methods with Individual Classifiers in Machine Learning for Diabetes Detection

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Samuel Härner; David Ekman; [2022]
    Nyckelord :;

    Sammanfattning : Diabetes is a common disease that is characterized by several health markers. These markers can be used in machine learning to help predict the presence of diabetes in an individual. LÄS MER