Simon Luo, Postdoctoral Research Fellow, Data Analytics for Resources & Environments (DARE) ARC Centre Machine learning models increase their representational power by increasing the number of parameters in the model. The number of parameters in the model can be increased by introducing hidden nodes, higher-order...
A two-day conference on Understanding and Quantifying uncertainty The phrase “these uncertain times” has never seemed more relevant. In Australia in 2019/2020 we have ricocheted from one extreme event to another; the worst bushfires on record; flooding in previously drought-stricken areas; a global pandemic. What...
Distinguished Professor Kerrie Mengersen, Queensland University of Technology Dynamic Bayesian networks (DBNs) provide a versatile method for predictive, whole-of-systems modelling to support decision makers in managing natural systems subject to anthropogenic disturbances. However, DBNs typically assume a homogeneous Markov chain which we show can...