Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Application layer networks are software architectures that allow the provisioning of services requiring a huge amount of resources by connecting large numbers of individual compute...
Torsten Eymann, Michael Reinicke, Oscar Ardaiz, Pa...
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semant...
Adaptation/personalization is one of the main issues for web applications and require large repositories. Creating adaptive web applications from these repositories requires to hav...