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models (eg auto-encoders and generative adversarial networks) and reinforcement/imitation learning algorithms for Markov Decision Processes. The application areas are different problems in text processing
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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as
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for this purpose. However, such rigid layout doesn’t now allow adaptive layout for interfaces that run on a variety of screen sizes or that need different control sizes due to application being internationalised
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