Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
: A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data for mutual benefit. PDNs are enabled by distribu...
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...