To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
We present and compare two approaches to the task of summarizing evaluative arguments. The first is a sentence extractionbased approach while the second is a language generation-b...
The ‘graphicacy’ of student programmers was investigated using several cognitive tasks designed to assess ER knowledge representation at the perceptual, semantic and output lev...
Richard Cox, Pablo Romero, Benedict du Boulay, Rud...
In this paper we describe a study that examines human performance in a tilt control targeting task on a PDA. A three-degree of freedom accelerometer attached to the base of the PDA...
Participatory methods can, in principle, be applied for a variety of purposes to gain insight into the context of use of an artefact or the way in which tasks are performed by end ...