Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
The possibility of operating in remote environments by means of telecontrolled systems has always been considered of relevant interest in robotics. For this reason, in the literat...
Hierarchies of patterns of features, of sub-assemblies, or of CSG sub-expressions are used in architectural and mechanical CAD to eliminate laborious repetitions from the design p...
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...