Cooperative multi-agent reinforcement learning in sparse-reward, partially observable 3d environments with curriculum-transfer learning by Denkema, De Wet

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Decision tree classifiers for incident call data sets by Igboamalu, Frank Nonso

“…The approach was to explore the Information technology incident descriptions and their assigned subjects; thereafter the correctly-assigned records were used for training decision tree classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) software. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…To achieve the optimal solution in the proposed method, a teaching-learning-based optimization (TLBO) algorithm is presented to efficiently solve the problem. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To ensure that the machine learning algorithm is able to discover a sufficient amount of possible routes and has a sufficient understanding of the network environment, sufficient training and evaluation episodes should be conducted. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To ensure that the machine learning algorithm is able to discover a sufficient amount of possible routes and has a sufficient understanding of the network environment, sufficient training and evaluation episodes should be conducted. …”
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Combinatorial evolution of feedforward neural network models for chemical processes by Schmitz, Gregor Peter Josef

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Analysis of catastrophic interference with application to spline neural architectures

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The modelling of IR emission spectra and solid rocket motor parameters using neural networks and partial least squares by Hamp, Niko

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Conversational mining via motif detection

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Distributed autonomous intersection management with neuro-evolution by Cherry, Matthew P

“…In particular we investigate three key hyper-parameters: Neuro-Evolution algorithm, task difficulty and problem exposure. A traffic simulator was developed and the hyper-parameters were used to evolve car controllers, which where then tested on unseen tasks. …”
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Deep adaptive anomaly detection using an active learning framework by Sekyi, Emmanuel

“…Results on the MNIST, CIFAR-10 and Galaxy Zoo datasets show that our algorithm, Ahunt, significantly outperforms other anomaly detection algorithms used on a fixed, static, set of features. …”
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Machine learning for antenna array failure analysis by De Lange, Lydia

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Application of machine learning with electroencephalography in seizure detection. by Volschenk, Andre Daniel

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Detecting change in complex process systems with phase space methods by Botha, Paul Jacobus

“…The first method considered was a change-point algorithm that is based on singular spectrum analysis. …”
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Evaluating technology-based interventions to enhance the learning of first year Statistics students

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Satellite change detection in the albany thicket biome by Mahlasi, Craig

“…Chapter two focuses on developing a change detection protocol for identifying clearings of Thickets using Temporal Convolution Neural Networks and comparing it against the Continuous Change Detection and Classification (CCDC) algorithm. Finally chapter three sets out to develop a Domain adaptive Temporal Convolution Neural Network for continuous change detection in the Albany Thicket biome. …”
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Radio Frequency Interference: Simulations for Radio Interferometry Arrays by Finlay, Chris

“…Unfortunately, due to the lack of training data for which the true RFI contamination is known, it is impossible to reliably train and compare machine learning algorithms for RFI excision on radio telescope arrays currently. …”
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Language identification in a highly unbalanced dataset by Weber, Ian

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Developing a tool for project contingency estimation in Eskom Distribution Western Cape Operating Unit by Van Niekerk, Mariette

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