This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
In this paper we present an innovative prototype Open Source Teaching/Learning Collaboratory created at UC Merced that will provide the foundation for offering the vast majority of...
Jeff Wright, Stefano Carpin, Alberto Cerpa, German...
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 ...
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...