Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery...
Riham Abdel Kader, Maurice van Keulen, Peter A. Bo...
In this paper we present preliminary work conducted on semi-automatic induction of inflectional paradigms from non annotated corpora using the open-source tool Linguistica (Goldsm...
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
As buffer-less crossbar scheduling algorithms reach their practical limitations due to higher port numbers and data rates, internally buffered crossbar (IBC) switches have gained ...
Lotfi Mhamdi, Mounir Hamdi, Christopher Kachris, S...