In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
This paper introduces a modular modeling approach for distributed production systems, considering production and maintenance processes synchronization. Thus, production job shop, p...
Daniel I. Racoceanu, Noureddine Zerhouni, Nawal Ad...
We present a collaborative, self-configuring high availability (HA) approach for stream processing that enables low-latency failure recovery while incurring small run-time overhea...
Online social networks are enjoying drastic increase in their population and connectivity. One of the fundamental issues in these networks is trust, which is an essential factor in...
We present the KPC-Toolbox, a collection of Matlab scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. We first present detailed sen...