Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
Abstract--Machine-to-Machine (M2M), an emerging communications paradigm, is a facilitator of data flows between machines used, e.g., in mission-critical applications. Focusing in t...
Tatjana Predojev, Jesus Alonso-Zarate, Mischa Dohl...
Abstract. With the emergence of Cloud Computing resources of physical machines have to be allocated to virtual machines (VMs) in an ondemand way. However, the efficient allocation ...
Abstract. Current Learning Management Systems were typically conceived to offer a self-contained "one size fits all" learning environment. Adaptive educational systems ha...
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...