Welcome to the St Andrews Research Repository
This is the official institutional research repository for the University of St Andrews. The repository contains electronic theses and research publications including articles, conference proceedings, working papers and some research monographs. It also contains material and publications affiliated to the University and arising from specific projects. Full text content is provided for all research publications in the repository, and wherever possible (following embargoes) for electronic theses.
The University requires submission of an electronic version of theses. For help with electronic thesis deposit see Library webpages on how to submit your electronic copy or contact Digital-Repository@st-andrews.ac.uk.
The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure or contact the Open Access team at firstname.lastname@example.org.
Communities in Repository
Select a community to browse its collections.
(2017-01-25) - Journal article
(IEEE, 2017-05-14) - Conference itemIn this paper we propose several novel approaches for incorporating forgetting mechanisms into sequential prediction based machine learning algorithms. The broad premise of our work, supported and motivated in part by ...
Glycaemic index prediction : a pilot study of data linkage challenges and the application of machine learning (IEEE, 2017-02-18) - Conference itemThe glycaemic index (GI) is widely used to characterize the effect that a food has on blood glucose which is of major importance to diabetic individuals as well as the general population at large. At present, its applicability ...
(2016-03-21) - Journal articleUnderstanding the processes driving the distribution of mid-water prey such as euphausiids and lanternfish is important for effective management and conservation. In the vicinity of abrupt topographic features such as ...
(2017-03-03) - Journal articleWhat an agent ought to do is determined by competition between reasons bearing on the options open to her. The popular metaphor of balancing or weighing reasons on a scale to represent this competition encourages a focus ...