: This paper describes foundational work investigating the protection requirements of sensitive medical information, which is being stored more routinely in repository systems for ...
Nathan Lea, Stephen Hailes, Tony Austin, Dipak Kal...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
: Revenue Assurance describes a methodology to increase a company’s income by determining where revenue gets lost, and to maximize their profits by eliminating revenue leakage an...
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...