Authors: George Rajna
Future wireless data networks will have to reach higher transmission rates and shorter delays, while supplying an increasing number of end devices.  Researchers at Northwestern University, the University of Bath, and the University of Sydney have developed a new network approach to topic models, machine learning strategies that can discover abstract topics and semantic structures within text documents.  To achieve remarkable results in computer vision tasks, deep learning algorithms need to be trained on large-scale annotated datasets that include extensive informationabout every image.  Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising results. 
Comments: 36 Pages.
[v1] 2019-07-25 09:08:45
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