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Modern gradient boosting
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Development and evaluation of an engagement/burnout structural model within the mining and construction equipment supplier industry
Published 2019Get full text
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To e-learn or not to e-learn: an investigation into the efficacy, efficiency and effectiveness of converting compulsory staff training from classroom to computer
Published 2015“…The result was a tailor-made, in-house training course which facilitated the empowerment of the trainees whilst enhancing their knowledge and skills regarding the finance reporting system. …”
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When UTAUT2 meets design thinking mindset: Exploring e-learning champions? Adoption of blended learning at EMU
Published 2025“…This study seeks to understand the factors motivating lecturers to accept blended learning at Eduardo Mondlane University (EMU) in Mozambique, by following a group of three lecturers who have been thriving in adopting blended learning and are eager to support others in their adoption of blended learning as well, designated in the study as "blended learning champions". …”
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Collaborative learning: An instructional strategy for effective teaching and learning of creative arts at Onwe m/a ‘2’ primary school
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Deep learning for tabular data : an exploratory study
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Knowledge management and the learning organisation in the new economy
Published 2011Get full text
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Trends, problems, and solutions in causality and reinforcement learning
Published 2025“…Although relevant in both model-based and model-free scenarios, focus is placed on model-based modalities where one can view the various models as being causal models. …”
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Evaluating transformers as memory systems in reinforcement learning
Published 2022“…Early research into transformers as memory mechanisms for reinforcement learning indicated that the canonical model is not suitable, and that additional gated recurrent units and architectural modifications are necessary to stabilize these models. …”
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Barriers to learning mathematics in rural secondary schools
Published 2008Get full text
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Predicting mergers and acquisitions using machine learning
Published 2024“…The findings are that all the advanced algorithms surpassed the performance of logistic regression in M&A prediction, signalling a shift from traditional statistical methods to advanced machine learning techniques. LightGBM and the Ensemble model displayed the best performance in M&A prediction. …”
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Reinforcement learning for the control of traffic flow on highways
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Grade 9 learners' opportunity to learn algebra
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Learning from failure in the context of business rescue
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