The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
— Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and no theoretical foundations exist. Predicting a...
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Group communication primitives have broad utility as building blocks for distributed applications. The challenge is to create and maintain the distributed structures that support ...
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster, A...
Abstract— On the one hand, natural phenomena of spontaneous pattern formation are generally random and repetitive, whereas, on the other hand, complicated heterogeneous architect...