Essays about: "network, knowledge transfer"
Showing result 11 - 15 of 78 essays containing the words network, knowledge transfer.
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11. Evaluating Transfer Learning Capabilities of Neural NetworkArchitectures for Image Classification
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : Training a deep neural network from scratch can be very expensive in terms of resources.In addition, training a neural network on a new task is usually done by training themodel form scratch. Recently there are new approaches in machine learning which usesthe knowledge from a pre-trained deep neural network on a new task. READ MORE
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12. The innovation intermediary’s guide to the AI Factory - A study of AI Sweden as an intermediary in a system of innovation
University essay from Göteborgs universitet/Graduate SchoolAbstract : This paper investigates the role of intermediaries in innovation systems. By studying how AI Sweden accelerates the use and adoption of artificial intelligence on a national level, it focuses on how an intermediary adds value in a technological innovation system. READ MORE
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13. Analysis of visual political communication on YouTube
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Though images are ubiquitous in everyday life and have always been part of politics, research on the visual aspects of political communication recently gained momentum, especially with the rise of social media. This opens up a platform to analyze the role of visuals in communicating political ideas. READ MORE
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14. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. READ MORE
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15. Machine Learning Modeling using Heterogeneous Transfer Learning in the Edge Cloud
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The dynamic nature of the edge cloud and future network infrastructures is another challenge to be added when modeling end-to-end service performance using machine learning. That is, a model that has been trained for one specific environment may see reductions in prediction accuracy over time due to e.g., routing, migration, or scaling decisions. READ MORE