We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
Abstract. In this paper we develop an artificial world model to investigate how environmental conditions affect opportunities for learning. We model grouping entities that learn wh...
Abstract. The paper examines the impact of ICT on students learning experiences and opportunities offered by virtual learning environment as an integral part of traditional learnin...
This paper presents a mobile system that supports young students learning history at an archaeological site. It adopts gameplay as a novel and effective technique particularly suit...
Carmelo Ardito, Paolo Buono, Maria Francesca Costa...