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Validation of learning hierarchy of instructional content on bearing in mathematics
Published 2013-01Article -
A Machine Learning Model for Octane Number Prediction
Published 2024“…Previous research has used empirical models in the form of phenomeno-logical and machine learning models (Gonz´alez 2019). …”
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Evolutionary algorithms for optimising reinforcement learning policy approximation
Published 2020“…However, these methods still require relatively large amounts of training resources due to the fundamental exploratory nature of reinforcement learning. Other machine learning approaches are able to improve the ability to train reinforcement learning agents by better processing input information to help map states to actions - convolutional and recurrent neural networks are helpful when input data is in image form that does not satisfy the Markov property. …”
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Learning from mentors : perspectives of South African entrepreneurs
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A hybrid deep learning approach for texture analysis
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Creating a learning organisation, using information technology
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Preschool teachers' understanding and implementation of learning through play
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The influence of the beliefs of teachers and learners on the teaching and learning of evolution
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Common ground : finding commonality in a place of learning
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Using YouTube as an informal learning tool for children
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Reinforcement learning microservices scheduler in intelligent edge computing
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The management of teaching and learning of street children in Gauteng schools
Published 2018Get full text
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Learning industrial descriptions : NLP tasks for acronym expansion
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The utilisation of translanguaging for learning and teaching in multilingual primary classrooms
Published 2021Get full text
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