The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
This paper presents the findings of an exploratory, qualitative study revealing computing instructors’ experience in adopting curriculum innovations. We interviewed eight instru...
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified usin...
Justus H. Piater, Louis Wehenkel, Pierre Geurts, R...
Operating system courses teach students much more when they provide hands-on kernel-level project experience with a real operating system. However, enabling a large class of stude...
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...