This paper examines the job exchange between parallel compute sites in a decentralized Grid scenario. Here, the local scheduling system remains untouched and continues normal oper...
Christian Grimme, Joachim Lepping, Alexander Papas...
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
The continuous increasing in performance requirements, for both scientic computation and industry, motivates the need of a powerful computing infrastructure. The Grid appeared as ...
High energy traumatic impact of the craniofacial skeleton is an inevitable consequence of today's fast paced society. The work presented in this paper leverages recent advanc...
Suchendra M. Bhandarkar, Ananda S. Chowdhury, Yaro...