We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
Microsoft SQL Server was successful for many years for transaction processing and decision support workloads with neither merge join nor hash join, relying entirely on nested loop...
Abstract. To meet the new, more sophisticated needs of decision makers, a new generation of BI systems is emerging. In this paper we focus on two enabling technologies for this new...
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...