: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
We present a design space explorer for the space of experimental designs. For many design problems, design decisions are determined by the consequences of the design rather than i...
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
: Collecting, distributing and sharing knowledge in a knowledge-explicit way is a significant task for any company. However, collecting decisional knowledge in the form of formal d...
This paper describes an application of recently developed qualitative reasoning techniques to complex, socio{economic allocation problems. We explain why we believe traditional op...