Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
Design patterns are solutions to recurring design problems, conceived to increase benefits in terms of reuse, code quality and, above all, maintainability and resilience to change...
Lerina Aversano, Gerardo Canfora, Luigi Cerulo, Co...
When authors publish their interpretations of the ideas, opinions, claims or rebuttals in the literature, they are drawing on a repertoire of well understood moves, contributing t...
Bertrand Sereno, Simon Buckingham Shum, Enrico Mot...
The ontology development process is typically led by single or small groups of experts, with users mostly playing a passive role. Such an elitist approach in building ontologies h...