Contributions to statistical machine learning algorithm by Cui, Yan Hong

“…This thesis's research focus is on computational statistics along with DEAR (abbreviation of differential equation associated regression) model direction, and that in mind, the journal papers are written as contributions to statistical machine learning algorithm literature.…”
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Dualisms in modernity : a machine for learning in

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Bayesian machine learning : theory and applications by Payne, Megan Wendy

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Credit scoring using machine learning : an application of deep learning

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Dental implant recognition by Kohlakala, Aviwe

Subjects: “…Deep learning (Machine learning)…”
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Time series forecasting using neural networks without recurrent connections by Masunungure, Takudzwa Trevor

Subjects: “…Deep learning (Machine learning)…”
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A Bayesian approach to energy monitoring optimization

Subjects: “…Machine learning…”
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Interpreting decision boundaries of deep neural networks by Wessels, Zander

Subjects: “…Machine learning -- Decision making…”
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Development of a process modelling methodology and condition monitoring platform for air-cooled condensers by Haffejee, Rashid Ahmed

Subjects: “…Machine learning…”
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Small-scale distributed machine learning in R by Taylor, Brenden

“…Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical complexity of the underlying calculations. …”
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Predicting mergers and acquisitions using machine learning by Beckenstrater, Gordon

“…The findings are that all the advanced algorithms surpassed the performance of logistic regression in M&A prediction, signalling a shift from traditional statistical methods to advanced machine learning techniques. LightGBM and the Ensemble model displayed the best performance in M&A prediction. …”
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Machine learning for antenna array failure analysis by De Lange, Lydia

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Determining the nature of free will using machine learning by Hall, Siobhan

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Proteo-metabolomic Integration Identifies Stage-specific Candidate Biomarkers for Parkinson's Disease by Galal, Aya Abdelsalam Mahmoud

Subjects: “…machine learning…”
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A deep learning approach to landmark detection in tsetse fly wing images by Geldenhuys, Dylan Shane

Subjects: “…Deep learning (Machine learning)…”
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Low-resource neural machine translation for Southern African languages by Nyoni, Evander EL-Tabonah

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Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)

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Modern gradient boosting by Zackey, Matthew David

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Evaluating the effectiveness of neural network techniques in the forecasting of South African basic fuel prices by Kingwill, Russell

Subjects: “…Machine learning…”
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Array completion methods for thermodynamic data generation by Middleton, Francesca

Subjects: “…Machine learning…”
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