Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…The cross-validation and training errors approached the desired performance of 0.3±0.1 for the models that had second-order polynomials added. …”
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Adaboost and its application using classification trees

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Artificial Neural Networks in Stock Return Prediction: Testing Model Specification in a Global Context by Buxton-Tetteh, Naa Ayorkor

“…All five networks train significantly well, with each network's training error indicating a good model fit. Each network also achieves the desirable information coefficient of 0.1 between its predicted returns and the actual returns in the training sample. …”
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Monitoring and diagnosis of process systems using kernel-based learning methods by Jemwa, Gorden Takawadiyi

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Surface accuracy and pointing error prediction of a 32 m diameter class radio astronomy telescope by Azankpo, Severin

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