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Learning through experience: making sense of students' learning through service learning
Published 2015“…This study asks how we can make sense of students' learning in service learning. I employed a qualitative research methodology to explore the learning experiences of four students as they journeyed through the UCT Global Citizenship course: Thinking about volunteering: service, boundaries and power. …”
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Learning decentralized policies with incremental reinforcement learning, reward shaping and self-play learning.
Published 2023Get full text
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Evolutionary deep learning
Published 2019“…Together these algorithms show that a great deal of the current "art" in the design of deep learning networks - and in the job of the data scientist - can be automated. …”
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Machine learning in astronomy
Published 2015“…In this thesis we test various machine learning algorithms and show that many of them can match the human hand scanner performance in classifying transient difference g, r and i-band imaging data from the SDSS-II SN Survey into real objects and artefacts. …”
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A framework for using experiential learning theory to develop game-based learning
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Semi-Supervised Transfer Learning for medical images as an alternative to ImageNet Transfer Learning
Published 2023“…One of the main disadvantages of supervised transfer learning is that it necessarily requires a large amount of expensive manually labelled training data. …”
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Model Calibration with Machine Learning
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Hierarchical Reinforcement Learning in Minecraft
Published 2021“…Additionally, we show that nearly all of the improvements impact the performance either in terms of learning speed or rewards received. …”
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Learning takes place : how Cape Town youth learn through dialogue in different places
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Assessment of good practices in blended learning as an institutional approach for enhancing students’ learning experiences in higher institution
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Trajectories of learning : the use of multimodal resources to enhance academic writing development in open and distance e-learning
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Low-resource neural machine translation for Southern African languages
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Semi-supervised learning in computer vision
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Video classification using deep learning
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Machine learning methods for large deviations
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Froth texture extraction with deep learning
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Opportunities to learn in isiNdebele textbooks
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