Sökning: "support vector machine regression"

Visar resultat 11 - 15 av 189 uppsatser innehållade orden support vector machine regression.

1. 11. 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. 12. 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. 13. 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

5. 14. 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

7. 15. Prediction of dementia based on older adults’ sleep disturbances using machine learning: a controlled experiment.

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Joel Nyholm; [2023]
   Nyckelord :Dementia; Sleep; Risk factors; Machine learning;

   Sammanfattning : Background. Sleep disturbances can indicate an increased risk of dementia. This study examines whether machine learning can predict this association and which sleep disturbance factors impact dementia. Methods. LÄS MER