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| Creator | Title | Description | Subject | Date | ||
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Chen, Jiahui | Practical and Configurable Network Traffic Classification using Probabilistic Machine Learning | Network traffic classification that is generally applicable and highly accurate is extremely valuable for many network security and management tasks. A flexible and easily configurable classification framework is ideal so it can be customized for use in many different networks. In this thesis we pro... | 2020 | |
| 2 |
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Potter, Hannah | Lifting Coach: Using Machine Learning to Battle Musculoskeletal Damage | Many manual laborers develop musculoskeletal disorders performing their work duties. The prevalence of these issues is concerning because of the negative effects on workers' health and well-being, the great cost to workers who are not able to work temporarily or permanently, and the great cost to co... | 2019 | |
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Bracken, Kallie | Defining learning: mystifying machine learning as a powerful tool in a data-driven world | Until recently, the driving paradigm in software engineering has been to design applications for a predefined set of tasks. This approach, however, is quickly being dwarfed by data-driven applications which are designed to use knowledge and understanding to decide how they can best fulfill use... | Machine learning - Case studies; Machine learning - Study and Teaching; Machine Learning - Technique | 2016-04 |
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