This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...
The ESP game belongs to the genre called Games with a Purpose (GWAP), which leverage people's desire to be entertained and also outsource certain steps of the computational p...