Geocoded, time-stamped event datasets are ubiquitous in public health and public policy more broadly. In this talk I will highlight the statistical machine learning methods that I am developing for...
There are many techniques for network comparison, from simply comparing network summary statistics to sophisticated but computationally costly alignment-based approaches. Yet it remains challenging...
The 'NOIR' referred to here is actually an acronym for the four scales of measurement proposed by Stevens in 1946: Nominal, Ordinal, Interval, and Ratio. Despite being proposed over 70 years ago...
Bayesian learning is built on an assumption that the model space contains a true reflection of the data generating mechanism. In reality all models are false. If the data is simple and small, and...
ABSTRACT: The defence and security sector has always been a data rich environment, resulting in many scientific advances being published in the data science literature over the last 30 years. This tal
The Data Science Institute would like to thank Ioannis Tsamardinos from the University of Crete, who presented 'Automating Predicitve Modelling and Knowledge Discovery' as part of our Advanced Data An