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- Browsing Theses and Dissertations (Statistics) by Supervisor
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Browsing Theses and Dissertations (Statistics) by Supervisor "De Waal, Alta"
Now showing items 1-9 of 9
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(University of Pretoria, 2018)Neural Networks (NNs) play an integral role in modern machine learning development. Recent advances in NN research have led to a wide array of applications, ranging from medical diagnosis [1] to complex problems such as ...
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(University of Pretoria, 2017)This dissertation investigates the performance of two-class classi cation credit scoring data sets with low default ratios. The standard two-class parametric Gaussian and naive Bayes (NB), as well as the non-parametric ...
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(University of Pretoria, 2022-12-07)Analysing unstructured data with minimal contextual information is a challenge faced in spatial applications such as movement data. Movement data are sequences of time-stamped locations of a moving entity analogous to text ...
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(University of Pretoria, 2022)The classification of molecules is of particular importance to the drug discovery process and several other use cases. Data in this domain can be partitioned into structural and sequence/text data. Several tech- niques ...
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(University of Pretoria, 2020)Most topic models are constructed under the assumption that documents follow a multinomial distribution. The Poisson distribution is an alternative distribution to describe the probability of count data. For topic modelling, ...
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(University of Pretoria, 2020)Large volumes of text is being generated every minute which necessitates effective and robust tools to retrieve relevant information. Supervised learning approaches have been explored extensively for this task, but it is ...
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(University of Pretoria, 2021)When modelling univariate count data, the Poisson distribution is a popular choice that is routinely studied by academics and applied by practitioners. It does not, however, allow for the modelling of dependencies found ...
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(University of Pretoria, 2020)Copulas allow a joint probability distribution to be decomposed such that the marginals inform us about how the data were generated, separately from the copula which fully captures the dependency structure between the ...
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(University of Pretoria, 2018)Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past ...
Now showing items 1-9 of 9