22 citations · 34 across the 14 of their papers we have counts for
6 papers · 1 filter
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
Energy consumption is one of the largest operational expenditure items for mobile network operators, yet site-level energy inefficiencies such as faulty cooling controllers, idle r…
Rail break and derailment prediction using Probabilistic Graphical Modelling
Rebecca M. C. Taylor, Johan A. du Preez
Rail breaks are one of the most common causes of derailments internationally. This is no different for the South African Iron Ore line. Many rail breaks occur as a heavy-haul train…
SimLDA: A tool for topic model evaluation
Rebecca M. C. Taylor, Johan A. du Preez
Variational Bayes (VB) applied to latent Dirichlet allocation (LDA) has become the most popular algorithm for aspect modeling. While sufficiently successful in text topic extractio…
A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)
Rebecca M. C. Taylor, Dirko Coetsee, Johan A. du Preez
Latent Dirichlet Allocation (LDA) is a probabilistic model used to uncover latent topics in a corpus of documents. Inference is often performed using variational Bayes (VB) algorit…
ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets
Rebecca M. C. Taylor, Johan A. du Preez
Variational Bayes (VB) applied to latent Dirichlet allocation (LDA) has become the most popular algorithm for aspect modeling. While sufficiently successful in text topic extractio…
Degenerate Gaussian factors for probabilistic inference
J. C. Schoeman, C. E. van Daalen, J. A. du Preez
In this paper, we propose a parametrised factor that enables inference on Gaussian networks where linear dependencies exist among the random variables. Our factor representation is…