Sökning: "klassificering matematik"

Visar resultat 1 - 5 av 48 uppsatser innehållade orden klassificering matematik.

  1. 1. Decision Trees for Classification of Repeated Measurements

    Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Julianna Holmberg; [2024]
    Nyckelord :Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

    Sammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER

  3. 2. Matematiska resonemangsprocesser i empiriska undersökningar : En litteraturöversikt

    Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för matematik (MA)

    Författare :Jens Axelsson; [2023]
    Nyckelord :;

    Sammanfattning : Matematiska resonemang har kommit att betonas alltmer i såväl styrdokument som i internationella jämförelser mellan skolsystem. Parallellt med detta har ett allt större fokus lagts på processer i matematikundervisningen. LÄS MER

  4. 3. Clustering and classification of prepaid mortgages

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Jakob Atli Thorsteinsson; [2023]
    Nyckelord :Clustering; Classification; Klustring; Klassificering;

    Sammanfattning : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. LÄS MER

  5. 4. Exploring the Feasibility of Replicating SPAN-Model's Required Initial Margin Calculations using Machine Learning : A Master Thesis Project for Intraday Margin Call Investigation in the Commodities Market

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

    Författare :Clara Branestam; Amanda Sandgren; [2023]
    Nyckelord :Machine Learning; Market Risk; Initial Margin; SPAN-model; Central Counterparty Clearing; Margin Call;

    Sammanfattning : Machine learning is a rapidly growing field within artificial intelligence that an increasing number of individuals and corporations are beginning to utilize. In recent times, the financial sector has also started to recognize the potential of these techniques and methods. LÄS MER

  7. 5. Improving Machinery Safety : Modelling data to explain machine stops and developing a strategy on how to reduce them

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

    Författare :Kristina Leijonborg; Sandra Hammarsten; [2023]
    Nyckelord :;

    Sammanfattning : The purpose of this thesis is to examine how machinery safety at Stora Enso can be increased, with the goal of reducing the amount of machine stops and improving the operational safety within the Packaging Solutions division. To do this, data from the one of the machines at the Jönköping mill has been used for classification and time series modelling. LÄS MER