Essays about: "support vector machine SVM"
Showing result 16 - 20 of 216 essays containing the words support vector machine SVM.
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16. Identifying the beginning of a kayak race using velocity signal data
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : A kayak is a small watercraft that moves over the water. The kayak is propelled by a person sitting inside of the hull and paddling using a double-bladed paddle. While kayaking can be casual, it is used as a competitive sport in races and even the Olympic games. READ MORE
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17. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
University essay from Uppsala universitet/Statistiska institutionenAbstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE
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18. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification
University essay from Uppsala universitet/Matematiska institutionenAbstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE
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19. Predicting Disengagement in Short-Term Human-Robot Interactions : A Study in a University Library Setting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report presents a study that investigated the effectiveness of Support Vector Machine (SVM) as a machine learning learning technique for detecting human engagement during short-term interactions with social robots in a library setting. The goal was to build an SVM-based model trained on a dataset of recorded interactions and evaluate its performance in predicting engagement levels. READ MORE
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20. 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