Essays about: "Model averaging"
Showing result 11 - 15 of 64 essays containing the words Model averaging.
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11. Radio Environment Classification
University essay from Umeå universitet/Institutionen för fysikAbstract : This thesis has looked into the possibility of classifying radio environment scenarios based on data received in base stations. It was done in order to improve forecasting of electrical output in these base stations. READ MORE
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12. Computation models for audiovisual attention decoding
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : When being in a noisy environment, a normal hearing person can manage to sort out background noise and focus on the attended source. This is something that a person with impaired hearing will struggle with, even when wearing a hearing aid. READ MORE
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13. Federated Learning for Natural Language Processing using Transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE
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14. The Effect of Workplace Autonomy on Environmental Performance: A study on the individual workers’ autonomy in an organization and how it affects a company’s environmental performance
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : This thesis examines the relationship between workplace autonomy and environmental performance. The relationship is measured through Scope 1 CO2 equivalent (CO2e) emissions and through a quantitative study. Previous research found that autonomy is not a widely researched field for environmental performance purposes. READ MORE
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15. Experiments of Federated Learning on Raspberry Pi Boards
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, companies of all sizes have become increasingly dependent on customer user data and processing it using machine learning (ML) methods. These methods do, however, require the raw user data to be stored locally on a server or cloud service, raising privacy concerns. READ MORE