Characterizing the complexity of tabular machine learning classification problems by Erwin, Kyle Harper

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Learning & knowledge : critical elements to sustained competitive advantage by Weitsz, Marijke (Marijke Adriana)

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The role of the learning support teacher in facilitating learner engagement by Van der Linde, Elzahn Amanda

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Learner perceptions of the motivating role of learning technology in education by Anley, Casey

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Violence, primary school learning and development in the Cape Flats township of Mitchells Plain: a case study of exposure to violence and its implications for children's' learning... by Kampfer, Judine Pearl

“…I used Bronfenbrenner's ecological models to explain the impact exposure to violence has on human development and cognitive growth within an ecological system. …”
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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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A learning theory approach to students' misconceptions in calculus by Bowie, Lynn Heather

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The role of organisational behaviour in establishing a corporate academy in the construction industry

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Feature engineered embeddings for machine learning on molecular data

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Organisational learning and dynamic Capabilities : a case study

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Reinforcement learning microservices scheduler in intelligent edge computing

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The application of machine learning for computational electromagnetic solver selection by De la Bat, Willem

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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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"PBL on 'roids" : application of an adapted constructivist learning environment survey to investigate the perceptions of students in a community-based undergraduate obstetrics lear... by Marcus, J. K. (Jason Kirk)

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Students' experiences of WebCT

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Latent semantic models : a study of probabilistic models for text in information retrieval

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Multilingual preschool learners: a collaborative approach to communication intervention

Subjects: “…Service delivery model…”
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Application of statistical pattern recognition and deep learning for morphological classification in radio astronomy by Becker, Adolf Burger

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Die onderrigleervoorkeure van Generasie Z-studente in hoër onderwys : ʼn bestek-oorsig by Van der Merwe, Mareli Winter

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Machine Learning Multimodal Framework for Fake News Detection and Mitigation by GabAllah, Nada A

“…Specifically, it will examine how contextual information can enhance detection of fake social posts and the extent to which integrating news articles can further enhance this performance. Large langugae models are used for textual representation of social posts and news articles, and deep learning neural networks are used to capture the contextual features of the text and identify the post as fake or real. …”
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