Agent-based application development must face the issues related to the interactions among agents. In fact, their sociality allows decomposing large applications into collaboratin...
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Neuroimaging techniques produce large amounts of data capable of displaying a wide variety of structural and functional properties of the brain. A large number of specialized image...
Florian Weiler, Jan Rexilius, Jan Klein, Horst K. ...
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...