Browsing Faculty of Engineering by Subject "Machine learning"
Now showing items 1-3 of 3
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Continuous machine learning for abnormality identification to aid condition-based maintenance in nuclear power plant
(Elsevier, 2018)A condition-based maintenance (CBM) regime in a nuclear plant will result in eliminating unnecessary maintenance cost without jeopardizing the safety of the plant. The foundation of a good CBM regime is an accurate and ... -
Insights regarding overfitting on noise in deep learning
(In Proc. South African Forum for Artificial Intelligence Research (FAIR2019), 2019-12)The understanding of generalization in machine learning is in a state of flux. This is partly due to the relatively recent revelation that deep learning models are able to completely memorize training data and still perform ... -
Introducing XGL: a lexicalised probabilistic graphical lemmatiser for isiXhosa
(IEEE, 2015)In this paper, a lexicalized probabilistic graphical lemmatiser for isiXhosa, XGL, is presented. An overview of isiXhosa lemmatisation issues is given, followed by a discussion on previous work in automated lemmatisation ...