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Improving unsupervised acoustic word embeddings using segment- and frame-level information
Published 2021Subjects: “…Predictive coding…”
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ISLAMIC LEARNING IN NUPELAND (1750-1982)
Published 1983-02ThesisFull Text AvailableAccess Repository -
Opportunities to learn in isiNdebele textbooks
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Reinforcement learning in the Minecraft gaming environment
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Bayesian machine learning : theory and applications
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What are the enablers of and barriers to the creation of Organisations with an enhanced learning capacity? A systematic Review of learning organisation interventions
Published 2020“…In order to provide some initial guidance to the Western Cape Department of Health, which has expressed an interest in developing into a learning organisation, this project sought to identify the enablers of, and barriers to learning organisation creation by conducting a systematic review of learning organisation interventions across multiple sectors. …”
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Development of an e-learning platform to improve learning delivery in a low-resourced clinical ultrasound training setting
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A systematic analysis of the generalisation concept in early algebra for young learners – some ideas for the classroom
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Professional Learning Communities’ role in high school teachers’ professional learning at a private school in the Western Cape
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Critical Success Factors: an Analysis of some factors at a Nuclear Power utility in South Africa
Published 2022“…The information and lessons learned can also be shared in the nuclear industry by way of OE. …”
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Modern gradient boosting
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Deep learning for tabular data : an exploratory study
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Interactional analysis of mathematics instructional objectives in some selected secondary schools in Oke-ogun, Oyo state
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Student views on early clinical learning experiences
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The role that courage plays in an experiential learning process
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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning
Published 2023“…The primary experimental task (Card Sorting) gauges one's ability to learn, via inference, the structure of some latent pattern that drives the decision making process. …”
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Trends, problems, and solutions in causality and reinforcement learning
Published 2025“…The core argument is that the RL problem can be formulated as a causal problem, where the agent is learning causal policies that maximise return (via some causal relationship implied by the policy) and does this via selecting optimal actions (performing interventions) in the environment. …”
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Factors influencing success in adult learning on learnerships
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