Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Abstract. Many algorithmic problems, which are used to prove the security of a cryptographic system, are shown to be characterized as the subgroup membership problem. We then apply...
Distributed Constraint Satisfaction Problems (DCSPs) provide a model to capture a broad range of cooperative multiagent problem solving settings. Researchers have generally propos...