Sökning: "support vector machine regression"

Visar resultat 21 - 25 av 189 uppsatser innehållade orden support vector machine regression.

  1. 21. Forecasting daily stock market trading volume using Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Björn Hickman; [2023]
    Nyckelord :Machine Learning; Trading Volume Prediction; Stock Market; Maskininlärning; Förutspå Handelsvolym; Aktiemarknad;

    Sammanfattning : Today, brokers within the stock market brokerage industry are having difficulties with accurately forecasting the trading volume that is conducted by their customers. This is especially a problem during periods of exceptionally high or low trading volumes. LÄS MER

  3. 22. Multi-scale Bark Beetle Predictions Using Machine Learning

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Albert Øhrman Wellendorf; [2023]
    Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

  4. 23. ML enhanced interpretation of failed test result

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hiranmayi Pechetti; [2023]
    Nyckelord :Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

    Sammanfattning : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. LÄS MER

  5. 24. Predicting the threshold grade for university admission through Machine Learning Classification Models

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anas Almawed; Anton Victorin; [2023]
    Nyckelord :Admission data; Data Classification; Machine Learning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest; Antagningsdata; Dataklassificering; Maskininlärning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest;

    Sammanfattning : Higher-level education is very important these days, which can create very high thresholds for admission on popular programs on certain universities. In order to know what grade will be needed to be admitted to a program, a student can look at the threshold from previous years. LÄS MER

  7. 25. Predicting Waveforms with Machine Learning for Efficient Triggering in Monitoring Systems

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Amanda Rautio; [2023]
    Nyckelord :;

    Sammanfattning : Energy systems need to evolve to meet the requirements of the modern world and the future. Hence, substantial effort is needed at an academic and industrial level to develop valuable diagnostic techniques. LÄS MER