Essays about: "variable selection methods"
Showing result 6 - 10 of 55 essays containing the words variable selection methods.
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6. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency
University essay from Lunds universitet/Matematisk statistikAbstract : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. READ MORE
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7. Imitation Learning on Branching Strategies for Branch and Bound Problems
University essay from KTH/Matematisk statistikAbstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE
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8. Avatar Control using Eye-Tracking in Virtual Reality : A user study on the sense of embodiment, user experience and workload using a Unity3D Prototype
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master’s thesis investigates methods for improving accessibility in virtual reality (VR), focusing on avatar control for individuals with limited mobility. VR offers an opportunity to help them with specific rehabilitation. READ MORE
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9. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE
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10. Supervised classification for human movement data : A comparative study of functional and traditional methods
University essay from Umeå universitet/StatistikAbstract : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. READ MORE