Sökning: "support vector machine"

Visar resultat 21 - 25 av 596 uppsatser innehållade orden support vector machine.

  1. 21. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
    Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

    Sammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER

  3. 22. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
    Nyckelord :Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

    Sammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER

  4. 23. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

    Författare :Shuo Li; [2023]
    Nyckelord :Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

    Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER

  5. 24. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Gabriel Wennmark; Felix Lindgren; [2023]
    Nyckelord :machine learning; classification; stock market; OMXSPI; support vector machine; logistic regression; decision tree; prediction model; maskininlärning; klassifikation; aktiemarknad; OMXSPI; support vector machine; logistisk regression; beslutsträd; prediktionsmodell;

    Sammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER

  7. 25. Data Driven Modeling for Aerodynamic Coefficients

    Master-uppsats, KTH/Matematisk statistik

    Författare :Erik Jonsäll; Emma Mattsson; [2023]
    Nyckelord :Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

    Sammanfattning : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. LÄS MER