8 citations · 22 across the 11 of their papers we have counts for
4 papers · 1 filter
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo
Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Markov Chain Monte Carlo inference of target posterior distributions in machine learning is predominately conducted via Hamiltonian Monte Carlo and its variants. This is due to Ham…
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
Rendani Mbuvha, Patience Zondo, Aluwani Mauda +1
We use gradient boosting machines and logistic regression to predict academic throughput at a South African university. The results highlight the significant influence of socio-eco…
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks
Adam Balusik, Jared de Magalhaes, Rendani Mbuvha
As a result of the greater availability of big data, as well as the decreasing costs and increasing power of modern computing, the use of artificial neural networks for financial t…
Healing Products of Gaussian Processes
Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala +1
Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems. One of the approaches to alleviate their cubic training…