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Showing result 21 - 25 of 217 essays matching the above criteria.
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21. 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
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22. A Comparative Study on the Effects of Removing the Most Important Feature on Random Forest and Support Vector Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning (ML) for classification is largely regarded as a “black box”, in that it’s difficult to fully understand how the model reached a decision, and how changes to the input affects the output. Therefore, exploring the inner workings of classification models are of interest for expanding the current knowledge base, providing guidelines for choosing a more suitable classification model for a specific problem. READ MORE
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23. Automated Metadata Extraction for Job Advertisements
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment Service collect job ads from different private job boards and these ads consist of a title and description and are thus of an unstructured format. READ MORE
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24. Classification of hyperkinesia in Parkinson patients using mobile sensors
University essay from Lunds universitet/Matematisk statistikAbstract : In this thesis, we explore the possibility to monitoring hyperkinesia in people who suffer from Parkinson's disease (PD) using sensors in mobile phones. This is done by first collecting data from 25 patients diagnosed with PD by using a sensor-recording smartphone in a bag attached to the stomach, and at the same time let trained professionals make assessments of the degree of which they show signs of hyperkinesia, on the clinical dyskinesia rating scale, CDRS. READ MORE
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25. Vibration-Based Terrain Classification for an Autonomous Truck
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. READ MORE